Total 3,970 data entry clerk job vacancies in Information Technology category in Singapore

As a Senior Data Developer, you need to:

• Create and maintain data architectures that meets the needs of HDB.

• Build and maintain platforms required for storage, extraction, transformation, and loading of data from a wide variety of data sources.

• Improve discoverability and distribution of analytical data to data analysts and data scientists.

• Implement best practices in data security throughout the lifecycle of analytical data.

EXPERIENCE AND SKILLS NEEDED

As a Senior Data Engineer, you need:

• Background in Information Systems (IS), Computer Science or related field in a reputed institution.

• Experience in designing and maintaining data platforms such as data lakes, data warehouses and the associated data pipelines.

• Proficient in creating and maintaining complex data pipelines using tools such as Microsoft SQL Server Integration Services (SSIS).

• Experience in Commercial Cloud such as Amazon web Services (AWS),

Google cloud Platform (GCP) and Microsoft Azure.

• Knowledge of data platforms such as Spark, Flink, Kafka, SQL and NoSQL databases, Airflow.

• Knowledge of the latest developments in data engineering and best practices in data management.

• Knowledge of the latest developments in data engineering and best practices AWS Redshift, Google BigQuery, Azure Synapse.

As a Data Engineer, you need to:

• Create and maintain data architectures.

• Build and maintain platforms required for storage, extraction, transformation, and loading of data from a wide variety of data sources.

• Improve discoverability and distribution of analytical data to data analysts and data scientists.

• Implement best practices in data security throughout the lifecycle of analytical data.

EXPERIENCE AND SKILLS NEEDED

As a Data Engineer, you need:

• Background in Information Systems (IS), Computer Science or related field in a reputed institution.

• Experience in designing and maintaining data platforms such as data lakes, data warehouses and the associated data pipelines.

• Proficient in creating and maintaining complex data pipelines using tools such as Microsoft SQL Server Integration Services (SSIS).

• Experience in Commercial Cloud such as Amazon web Services (AWS), Google cloud Platform (GCP) and Microsoft Azure.

• Knowledge of data platforms such as Spark, Flink, Kafka, SQL and NoSQL databases, Airflow.

• Knowledge of the latest developments in data engineering and best practices in data management.

• Knowledge of cloud technologies in data platforms is a plus e.g. Snowflake,

AWS Redshift, Google BigQuery, Azure Synapse.

As a Data Engineer, you need to:

• Create and maintain data architectures.

• Build and maintain platforms required for storage, extraction, transformation, and loading of data from a wide variety of data sources.

• Improve discoverability and distribution of analytical data to data analysts and data scientists.

• Implement best practices in data security throughout the lifecycle of analytical data.

EXPERIENCE AND SKILLS NEEDED

As a Data Engineer, you need:

• Background in Information Systems (IS), Computer Science or related field in a reputed institution.

• Experience in designing and maintaining data platforms such as data lakes, data warehouses and the associated data pipelines.

• Proficient in creating and maintaining complex data pipelines using tools such as Microsoft SQL Server Integration Services (SSIS).

• Experience in Commercial Cloud such as Amazon web Services (AWS), Google cloud Platform (GCP) and Microsoft Azure.

• Knowledge of data platforms such as Spark, Flink, Kafka, SQL and NoSQL databases, Airflow.

• Knowledge of the latest developments in data engineering and best practices in data management.

• Knowledge of cloud technologies in data platforms is a plus e.g. Snowflake,

AWS Redshift, Google BigQuery, Azure Synapse.

Key Responsibilities

Responsible for the end-to-end software development and support for all work transitioned from Group (which could be projects, quarterly change requests, L3 production fixes) which includes analysis and design to development, implementation, testing and support. Expected to work on Group Retail Data Mart Project.

Responsible for quality assurance of the team delivery in conformance to the Bank-defined software delivery methodology and tools. Partner closely with the Group domain team to plan and manage transitioned deliverables

• Create technical documents for the solutions. Compile timely, comprehensive, and accurate documentation and or reports as requested
• Develop system documentation to capture key design decisions
• Perform design and development of applications according to change requests and project requirements
• Design and update software database/tables. This includes, but is not limited to: Software Applications, Data Communication Processes and User Interfaces
• Test, maintain and recommend software improvements to ensure strong functionality and optimization
• Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing
• Independently install, customise and integrate software packages and programs
• Perform tasks as part of a cross functional development team using agile or other methodologies and utilising project management software

Requirements

• Hands on with Cloudera Hadoop platform tools such as HDFS, Hive, Impala, Spark
• Experience in Informatica Power Center, Data Integration suite of tools and Big Data Management
• Strong SQL skills
• Experience in writing Unix shell scripting
• Hands on Teradata
• Support project and delivery team all throughout the project implementation

Must Have

• Should have minimum of 15 Years of exp and familiar with analytics skills on data lake environment for Risk and Regulatory reporting with SLA commitment
• Extensive Experience on Data Warehouse Solutioning and Strategy Roadmap.
• Should have strong business knowledge on Risk and Regulatory data for understanding business terms and analyse required data independently in Data lake environment using various tools to query/check data
• Should have hands on experience in Sql Databases, ETL tools. Preparing data using Pyspark, Dataframes, bteq for analysis
• Strong in Data Operating Models for implementation of Transformations, Data Lineage, Metadata Management, Data Quality and profiling of Critical data under Consent Order programs for Banking Risk portfolios
• Should have basic understanding on Erwin, Collibra, Hadoop, R, Python and Py spark for Data governance.
• Should have knowledge to understand SAS programming, big data eco system

Good to have

• Having exposure to Project Management Tools and ETL Tools such as development knowledge on ETL tools like Datastage, Talend, Teradata Bteq are added advantage.
• Having more consumer banking domain knowledge
• Having be familiarity with reporting tool such as SAS, Tableau, Micro Strategy, Cognos, Power-BI for cresting the marts.

Roles & Responsibilities

• Co-Ordination with Business and TEchnology stakeholders to strategize the Data Warehouse Implementation Roadmap
• Extensive experience of Large TRansformation Programs and Multi-country roll out of data warehouse & data lake Capabilities
• Technical TRoubleshooting of Business User Queries both Functionally and Technically.
• Have strong ability to decode business logics from legacy codes built on SAS, Oracle PL/SQL, Teradata Bteq, IBM Datastage
• Extensive knowledge in Banking Financial Risk Data Analysis, Regulatory reporting, Digital Banking and project management
• Expertize in building Workdown Break Structure ( WBS ) business requirement into smaller stories using Agile methodology, prepare project deliverable plan and drive the project until implementation closure
• Should be strong in analsing data using big data analytical tools, hive, hue, Teradata SQL assistance, Oracle and using Linux shell
• Strong in Data Operating Models for implementation of Data Lineage, Metadata Management, Data Quality and profiling of Critical data under Consent Order programs for Banking Risk portfolios
• Should have basic understanding on Erwin, Collibra, Hadoop, R, Python and Py spark for Data governance.
• Ability to work on gathering new requirements, scope, analysis and documentation of business and functional requirements, delivering artifacts like Narratives, User Story, BRD, FSD etc.
• Strong ability to communicate, influence, proactive and provide analytical solutions for customers, business stakeholders and Senior Management.
• Good relationship and stakeholder management skills and proven ability to operate effectively between cross domain/LOB and multi functional teams
• Lead solution workshops and project sprints deriving cross platform architectural solutions in onsite-offshore working model

The Technical Manager is responsible for all technical operational activities for data center projects, managing the technical department as well as providing engineering & planning services for tender and support services to projects. This role will be supporting a Data Centre project.

A summary of the responsibilities of this position are, and not limited to, as follows:

• Overall responsible for all permanent and temporary works design and design optimization by managing the appointed consultant to ensure that project is delivered within budget
• Responsible for handling client and consultant, coordinate with consultants, client and authorities for design matters and submission.
• Oversee the shop drawings submission and issuance, planning and control delivery of design schedule, monitoring the progress
• Coordinate and support the construction and other departments within the project to fulfil design requirement
• Resolve all technical queries and submit/raise Request for Approval / Information (RFA/I) to concern parties to clarify any ambiguous design details
• Review technical specifications and proposals submitted by Consultants / Subcontractors / Suppliers and produce procurement specifications
• Adherence to safety practices in the work place

Value Add of Position

• Excellent client facing with strong people orientation ability to build and develop positive relations
• Possess strong skill in developing and delivering effective communication to different audiences
• Able to lead and inspire high performance, to ensure project plans are implemented on a timely, efficient and effective basis

Qualifications and Education Requirements

• Education: Degree in Civil Engineering from a recognised university endorsed by PE Board or qualification acceptable to the Commissioner of Building Control
• Experience: Minimum 8 years of engineering experience in delivering large scale projects
• Past experience in Data Centre project will be highly preferred

Job Summary

Data Management team is critical part of Group COO Business Risk Management team which help manage risk for Retail Banking Operations with Data in Particular area.

The Primary role of the team is to manage data and ensure CPBB is in compliant with Data Management Policy and related Standards.
• To drive & support alignment to DM policy across all CPBB which will cover Personal Banking Client, Business Banking Client, Private Banking and Affluent Client.
• To socialize with respective Group Operation team, Country / Regional team, ORO, RFO on any approach, solution that team will implement.
• To support any regulatory, internal and adhoc audit against Data Management
• To ensure timely escalation on any risk related to Data Management

The above requires strong skills in data analysis, influence, communication & senior-stakeholder management to ensure alignment on design as well as rigor of execution

Strategy
Support SC’s strategic data management, which interprets regulatory directives, group policies and standards and applies compliant practices that protect the Bank’s assets/reputation

Business
• Provide business analysis support in delivering the solution for Data Quality Management Treatment Plan and other treatment plans across Records Management and Privacy as the need arises
• Review business requirement documents and identify data requirements - define the source data sets, mapping & transformation rules, aggregation & reporting requirements etc
• Analyse and ensure end-to-end data lineage, handshake, dictionary and transformation logic are established and up to date. Identify and document data sources and data consumers. Identify golden sources and recommend data sourcing approach
• Work closely with Downstream process owner and business risk owner to develop data quality validation rules and data quality maintenance / control where appropriate.
• Plan and coordinate profiling of data to ascertain data quality and consistency, if required
• Work with various technology teams to deliver data responsibilities
• Actively participate in any audit related to data within CPBB
• Manage end-to-end communications with the user community & stakeholders.

Key Responsibilities

Processes
• Ensure processes are streamlined and any control related issues are flagged timely to process owners and Operation Risk
• Support in implementation of controls to ensure accuracy of NTB on boarding and ongoing static data updates on ETB
• Help to design control monitoring to help DQM process owner manage their risk.

People & Talent
• Manage stakeholders efficiently and engage them appropriately from a project support standpoint

Risk Management
• Manage Data Management (DM) related risks (including (but not limited to) Data Quality, Privacy & Secrecy and Records Management) within CPBB Business
• Participate and perform Risk and Control Self-Assessment (RCSA) on Data Management (DM) related risks within CPBB Business
• Perform quarterly Residual Risk Assessment (RRA) on CPBB Data Quality Management process

Governance
• Ensure robust project governance of the project at a country, regional and global level

Regulatory & Business Conduct
• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key stakeholders
• Group/Regional/Country Onboarding/Service Transacting/BRM Operation team, CPBB FCC, CPBB OR, CDO, respective RFO and CPBB Data

Our Ideal Candidate

· This will be a Fixed Term role for duration of 12 months

· Bachelor’s degree or higher - preferably in Accounting, Statistics, and Computer Science or highly relevant equivalent experience

· 8+ Years of experience in Finance, Risk and/or Regulatory reporting space

· Experience in Project management and project financials

· Experience in running Projects for Multi-Country Rollouts and good grasp of Agile and Waterfall Project Management methodologies from a business perspective

· Deep knowledge of the strategic business drivers and operational process requirements

· Part of large development or implementation project / consulting organizations supporting complex data management programs in the finance & regulatory reporting space

· Project management/Business Analysis experience in the data management area

· Broad experience with data requirements, data modelling concepts, data integration, master data management, metadata management, enterprise data warehousing (EDW) and business intelligence/analytics, tools, protocols and practices

· Able to understand and interpret logical and physical data models

· Attention to detail, good analytical and problem-solving skills and critical thinking are essential

· Possess leadership capabilities and is able to lead a focused task force

· Cultural sensitivity and awareness to work with a range of people from diverse background and geographies

Role Specific Technical Competencies

· Finance, Risk and/or Regulatory Experience

· Project Management

· Business Analysis

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

· Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do

· Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well

· Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

· Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.

· Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.

· Flexible working options based around home and office locations, with flexible working patterns.

· Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits

· A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.

· Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

About Bytedance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The mission of our AML team is to push next-generation machine learning algorithms and platform for the recommendation system, ads ranking and search ranking in our company. We also drive substantial impact for core businesses of the company.

- Build an effective toolchain to improve development performance;

- Introduce new AI technologies to our online system, support billions of users all over the world;

- Improve the reliability of the system, manage the challenges of scale and complexity;

- Squeeze extreme performance from hardware and handle huge amount of requests;

- Research, design, and develop computer and network software or specialised utility programs;

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis;

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures;

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements;

Qualifications

- Bachelor's degree or above, majoring in Computer Science, Engineering or related fields.

- Strong programming and coding experience with at least one modern language such as C/C++, Golang, Python

- Experience contributing to the large scale distributed systems, multi-tenant systems (architecture, reliability and scaling)

- Strong analytical abilities and problem solving

- Good communication, self-motivation, engineering practice, documentation, etc.

- At least 1 year of relevant experience.

Preferred Qualifications

- Familiar with large-scale distributed systems like Spark and Elasticsearch;

- Familiar with the web technologies, such as Django / Flask / React.JS etc.

Bytedance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Bytedance, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job Highlights:

Enhance exposure to the government sector

Nearest MRT: Clementi

Working hours: 8.30am – 5.30pm (Mon to Fri)

Salary: up to $2,200 per month

Contract duration: 4 months

Job description:

• Manage databases with accurate input of high volume of data.
• Verify data accuracy by comparing it to source documents.
• Conduct data cleaning and validation to ensure data integrity.
• Collaborate with team members to resolve data discrepancies and issues.
• Maintain confidentiality and security of sensitive information.
• Analysis of data, when required.

Job requirements:

• Only Singaporean.
• Proficiency in Microsoft Office.

Interested candidates please click “Apply Now”. We regret to inform you that only shortlisted candidates will be contacted for further interviews.

Rachel Tham Pei See
R23114253
BGC Group Pte Ltd (Outsourcing)
EA 05C3053

Established in 2006, Easmed has grown over the years to be a leading medical device distributor specialising in bringing innovative products in the fields of ENT, General Surgery, Urology, Sleep Medicine, Respiratory and Critical Care in South-East Asia.

As part of our expansion plan to continue to push our boundaries to transform healthcare through medical education and delivering our promise to create a better life for all and hence raising the standards of medical care, our team is seeking to recruit an Data analyst / IT Support Executive.

Reporting to the Senior Regional Operations & Technical Service Manager, you will represent the company to support IT needs. You will be the first point of contact for employees who experience technical issues with computer hardware, software, networking or other devices.

Specifically, you will

• provide technical support & advice to employees and customers
• install, configure and maintain computer hardware, software and systems
• troubleshoot and solve technical issues relating to computers/phones/tablets
• maintain software licenses and the in-house server
• manage email accounts – including set up for new users
• manage purchase of new assets, the return of assets and the inventory for each repair
• manage and maintain network security & equipment safety
• assist IT projects and deployments
• train and guide employees on the use of technology
• evaluate, configure & implement new technology for company
• keep up-to-date with new technologies and industry developments

You should possess at least a Diploma preferably IT-related and/or have 1 to 2 years of relevant working experience.

To succeed in this role, you should possess the competency for efficient & quality to ensure IT team’s contribution is valuable. As you will be required to work with various divisions, you must possess strong collaboration skills.

We regret to inform that only shortlisted candidates will be contacted.

Responsibilities

● Support the business’s goal of democratization of data and data products.

● Drive audience and behavioral analytics, as well as key business metrics with associated dashboard and reporting.

● Collaborate in partnership with diverse teams such as product engineering, data science and business stakeholder teams to successfully deliver business outcomes.

● Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads.

● Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and publications to deliver innovative and game changing data products and use cases.

● Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases.

● Implement cloud-based scalable and reliable data pipelines at significant scale.

● Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes

Skills/Requirement

At least 5 years of relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles.

● Experience in data-related infrastructure deployments using Terraform Cloud.

● Experience in using Git for version and release management with knowledge in branching strategies.

● Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight.

● Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight.

● Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts.

Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 20,000+ employees across 176 offices globally, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.

The Bloomberg Financial Solutions department of 5,000+ employees is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.

We’re Bloomberg Enterprise Services - fast paced, innovative and expanding. We partner closely with our clients, taking time to understand their unique businesses and individual data and technology needs. We provide a vast number of datasets that cover all asset classes, via multiple delivery technologies and flexible scheduling options. This means our clients get exactly the data they need, when they need it, in the format they prefer.

What’s the role?

In this "Coach/Player" role, you are responsible for leading, motivating and developing the team who provide the implementation services for all our Enterprise Data clients in the Asia Pacific.

You’ll be hands-on in partnering with and understanding how Bloomberg solutions meet client requirements, leading the team to plan, deliver and execute projects across the Enterprise product landscape. On a daily basis under your guidance and support, the team will be driving these projects forward to meet agreed timelines, delivering exceptional levels of service and realizing revenue targets to agreed dates. You will act as the point of escalation for your team ensuring that obstacles are removed and risks to deliver are highlighted and mitigated.

As a part of the leadership of our Enterprise Data Service Delivery team in the region, you're ultimately responsible for the service received by our clients and ensuring their experience is a positive one including their transition in to a production environment with the long term goal of influencing their decision to partner with Bloomberg for future projects.

We’ll trust you to concentrate on the below core focus areas.

1: IMPLEMENTATION

• Ensure team members are partnering with the engagement team and that all stakeholders are familiar with the clients’ success criteria, establishing regular communication with the client throughout the implementation process to ensure partnership towards a common goal and delivery timelines
• Have oversight of the collaboration taking place with the Technical Account Managers to ensure current projects, maintenance and forecasts are being tracked with exceptions being flagged and milestones agreed
• Encourage your team to build relationships with their clients, with a focus on keeping them updated, providing relevant training and acting as their primary point of contact for the duration of the project
• Take ownership of the final solution delivery and ensure that it is fit for purpose; working with the client and production support to ensure all applications from the original forecast are being used as anticipated and the project can be closed within expected time-frames

2: PRODUCT KNOWLEDGE

• Leverage existing materials and build relationships to gain exposure to the processes involved in implementing the Enterprise product suite
• Build and maintain relationships with the product management team to ensure you have the right information at the right time to disseminate with your regional team and global counterparts
• Share your experiences with others to ensure a well-balanced, cross-trained team that is capable of handling the entire product range

3: OPERATIONAL EFFECTIVENESS

• A mind-set of continuous improvement is a must, with a desire and drive to own, manage and develop new or existing processes
• Balance the needs of the business with those of our clients, ensuring that our implementations are exact and fit for purpose
• Develop the team to accept and participate in regular changes with the goal of continuous improvement and setting new standards
• Work with internal service partners to develop the overall service delivery process and reduce the time to deliver Enterprise services

4: LEADERSHIP & TALENT MANAGEMENT

• Build and maintain a diverse, and high performing team
• Motivate team members to perform at the peak of their potential and build team spirit
• Provide coaching & development for all members of the team
• Ability to give clear, constructive and actionable feedback
• Collaborate closely with our global offices to drive projects and maintain a cross-regional operations

You’ll need to have:

• Minimum 10 years working experience within the financial services or financial technology industry
• Experience in a client facing role within the past 3 years
• Demonstrable experience implementing, supporting or project managing financial data solutions (including but not limited to real-time market data, pricing data, enterprise data management solutions)
• Strong desire to lead, influence and develop diverse teams
• Strong technical project management background with the ability to influence stakeholders and work to deadlines
• Ability to learn and apply technical implementation processes quickly and efficiently
• Knowledge of the concepts of market data compliance rules and regulations
• Strong presentation and communication skills in English
• Ability to manage your time effectively, multi-task and work well under pressure in a team environment
• Prior experience in coaching and people development
• Demonstrated continuous career growth within an organisation
• Bachelor’s degree or degree-equivalent qualifications
• We’d love to see:
• Hands on experience of industry leading Market Data enterprise distribution systems and data feeds
• Experience with technology infrastructure implementation and design for network and server hardware and software
• Technical competencies with, but not limited to Linux, TCP/IP, Python, SQL, Cloud Solutions (AWS, Azure, GCP)
• Practical knowledge on middleware technologies
• Relevant industry certification, including but not limited to Cloud certification
• Familiarity with Bloomberg enterprise products

If this sounds like you:

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: https://www.bloomberg.com/professional

Why Bloomberg?

We’re individuals with diverse backgrounds, talents, and experiences who take on big challenges and create even bigger impact through our work. We’re interested in what makes you you, and how we can create opportunities for you to channel your unique, personal energy and grow to your fullest potential.

Learn more about our office and benefits:

Singapore | www.bloomberg.com/singapore

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email [email protected] (Americas), [email protected] (Europe, the Middle East and Africa), or [email protected] (Asia-Pacific), based on the region you are submitting an application for.

Job Summary:

The Data Analyst will be responsible for analyzing and interpreting data related to the performance and efficiency of the airport's BHS. The role involves working closely with operations, maintenance and IT teams to ensure that data-driven insights are used to optimize system performance, enhance baggage processing times, and improve overall passenger experience.

Key Responsibilities:

• Collect, process, and analyze data generated by the Baggage Handling System or the Material handling System.
• Monitor system performance metrics and identify trends, anomalies, and areas for improvement.
• Develop and maintain dashboards and reports to provide real-time insights into system operations.
• Collaborate with cross-functional teams to implement data-driven solutions for optimizing baggage flow and reducing processing times.
• Conduct root cause analysis of system failures or inefficiencies and provide recommendations for corrective actions.
• Support the IT and operations teams in integrating new technologies or upgrades into the BHS.
• Ensure data accuracy, integrity, and consistency across all reporting and analysis activities.
• Participate in regular performance reviews and provide insights to management for decision-making.
• Stay updated with industry trends and best practices related to airport operations and baggage handling systems.

Working location: UE Bizhub West

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

· Collect and gather data from internal and external sources, including databases, spreadsheets, APIs, and other data repositories

· Ensure the accuracy, completeness, and integrity of data by performing data validation, cleansing, and normalization procedures

· Collaborate with stakeholders to define data requirements, objectives, and key performance indicators (KPIs) for analysis

· Analyze large datasets using statistical and data analysis techniques to identify patterns, trends, and correlations

· Design and create reports, dashboards, and data visualizations using data visualization tools

· Prepare and deliver regular reports and presentations to communicate findings, insights, and recommendations to management and cross-functional teams

· Manage and update databases, data warehouses, and data repositories to ensure data accuracy, consistency, and accessibility

· Implement data validation and verification procedures to ensure accuracy

· Ensure compliance with data protection regulations and company policies

JOB REQUIREMENTS

· Minimum Diploma and above

· Strong analytical and problem-solving skills, with the ability to work with complex datasets and derive meaningful insights

· Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R22109519

EA License Number: 22C1278

Reporting to the Head, Business Planning & Integration, the candidate will be responsible for extracting, cleaning, and analysing data to provide valuable business insights. This role involves close collaboration with internal stakeholders to understand data needs, visualize data effectively, and where applicable, build interactive dashboards for ongoing analysis. The Data Analyst will play a crucial role in driving data-driven decision-making processes within English/Malay/Tamil Media Newsrooms.

Key responsibilities:

• Work with internal stakeholders to identify data needs and extract relevant data from various sources.

• Clean and preprocess data to ensure accuracy, completeness, and consistency for analysis.

• Analyse data using statistical methods to identify trends, patterns, and insights that are relevant to business objectives.

• Collaborate with team members to understand business challenges and provide data-driven solutions.

• Develop and implement data visualisation strategies to clearly communicate findings to stakeholders.

• Utilise data visualisation tools to create intuitive graphs, charts, and other visual representations of data.

• Design and build dashboards that provide real-time insights and support strategic decision-making.

• Ensure dashboards are user-friendly and meet the needs of various stakeholders.

Requirements:

• Bachelor’s Degree in Data Science, Statistics, Computer Science, or a related field.

• Proven experience as a Data Analyst or in a similar role, with a strong portfolio of projects demonstrating the ability to extract, clean, and analyse data.

• Experience in working with internal stakeholders to understand and fulfil data analysis needs.

• Hands-on experience in visualising data and building dashboards.

• Proficiency in SQL for data extraction and manipulation.

• Knowledge of statistical programming languages such as R or Python.

• Experience with data visualisation tools (e.g., Tableau, Power BI).

• Familiarity with dashboard development tools and techniques.

• Excellent verbal and written communication skills, with the ability to present complex data in a clear and concise manner to non-technical stakeholders.

• Strong collaboration skills, with an ability to work effectively in a team and with stakeholders from different functional areas.

• Creative problem-solving abilities, with an aptitude for identifying and addressing business challenges through data analysis.

Reporting to the Head, Business Planning & Integration, the candidate will be responsible for extracting, cleaning, and analysing data to provide valuable business insights. This role involves close collaboration with internal stakeholders to understand data needs, visualize data effectively, and where applicable, build interactive dashboards for ongoing analysis. The Data Analyst will play a crucial role in driving data-driven decision-making processes within English/Malay/Tamil Media Newsrooms.

Key responsibilities:

• Work with internal stakeholders to identify data needs and extract relevant data from various sources.

• Clean and preprocess data to ensure accuracy, completeness, and consistency for analysis.

• Analyse data using statistical methods to identify trends, patterns, and insights that are relevant to business objectives.

• Collaborate with team members to understand business challenges and provide data-driven solutions.

• Develop and implement data visualisation strategies to clearly communicate findings to stakeholders.

• Utilise data visualisation tools to create intuitive graphs, charts, and other visual representations of data.

• Design and build dashboards that provide real-time insights and support strategic decision-making.

• Ensure dashboards are user-friendly and meet the needs of various stakeholders.

Requirements:

• Bachelor’s Degree in Data Science, Statistics, Computer Science, or a related field.

• Proven experience as a Data Analyst or in a similar role, with a strong portfolio of projects demonstrating the ability to extract, clean, and analyse data.

• Experience in working with internal stakeholders to understand and fulfil data analysis needs.

• Hands-on experience in visualising data and building dashboards.

• Proficiency in SQL for data extraction and manipulation.

• Knowledge of statistical programming languages such as R or Python.

• Experience with data visualisation tools (e.g., Tableau, Power BI).

• Familiarity with dashboard development tools and techniques.

• Excellent verbal and written communication skills, with the ability to present complex data in a clear and concise manner to non-technical stakeholders.

• Strong collaboration skills, with an ability to work effectively in a team and with stakeholders from different functional areas.

• Creative problem-solving abilities, with an aptitude for identifying and addressing business challenges through data analysis.

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Administrator
• Working Location: Benoi
• Working Hours: 5 days (9 am-6 pm)
• Salary Package: Basic Salary $2,500 + AWS + PB + Transport Provided
• Duration: Permanent Role

Key Responsibilities

• Verify trailer/prime mover number, model, and company name.
• Check if an inspection is required and whether the customer uses our account or their own.
• Upload before and after repair photos, ensuring all billable items have photos.
• Review all WhatsApp messages to ensure every completed job is accounted for and submitted in Kintone.
• Verify repair/maintenance job scope. If issues are unclear, confirm with workshop workers to avoid preparing incorrect DO.
• List all job scopes from Kintone in the maintenance report.
• Email the maintenance report to the customer and billing department.
• Perform any other ad hoc tasks assigned by your superior.

APPLY NOW!!!

• Minimum ITE qualification.
• Minimum 1 year of experience in data entry or related field.
• Experienced in Kintone is advantageous.
• Excellent communication skills with clients.
• Willingness to learn.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #68538 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Our client, one of Asia-Pacific’s leading organizations is looking for:

Junior Data Analyst

Responsibilities:

• Enhance Generative AI Accuracy:
  1) Build and curate a comprehensive knowledge base to serve as a foundation for the Generative AI model.
  2) Evaluate and analyse AI-generated responses to identify areas of improvement and optimize accuracy.
• Response Analysis and Evaluation:
  1) Identify, analyse, and assess the quality of AI-generated responses, ensuring they align with company standards and customer expectations.
  2) Collaborate with the AI Development team to implement necessary adjustments to improve response quality.
• Safety Scenario Establishment:
  1) Develop and implement safety scenarios to mitigate the risk of inappropriate or sensitive AI responses, maintaining ethical and responsible AI interactions.
• Data Set Maintenance:
  1) Deconflict and curate data sets across various platforms to ensure a diverse and clean input for the Generative AI model.
  2) Regularly update and refine data sets to reflect evolving language trends and user preferences.
• Knowledge Base Updates:
  1) Perform daily updates to the knowledge base, integrating the latest product information, industry updates, and relevant content.
  2) Ensure accuracy and relevance of information provided by collaborating with product owners and subject matter experts.
• Demand Analysis:
  1) Engage in call listening activities to identify emerging demand topics and customer preferences.
  2) Provide insights and recommendations to the AI Project Manager for enhancing AI-generated responses in response to these demands.
• Collaboration with Product Owners:
  1) Establish effective communication channels with product owners to continuously enhance the knowledge base and refine AI responses.
  2) Actively gather feedback and insights from product owners to improve the accuracy and relevance of AI interactions.
• Product Knowledge & Call Handling Trained
  1) To be trained in Banking Related product knowledge and undergo training to learn how a customer service officer handles a customer over a call.
  2) Standby support to be activated on adhoc basis by Workforce Management team to service calls/emails or any other functions deemed to be necessary to maintain Customer Centre’s service levels.

Requirements:

• Meticulous and show great attention to detail.
• Possess an analytical mindset to identify key performance metrics and evaluate the success of Gen AI initiatives.
• Basic understanding of prompt engineering, data pre-processing, and data ingestion techniques in the context of Generative AI systems. (Good to have but not essential)
• Proficient in MS Office (Word, Excel, Project and PowerPoint)

-------------------------------------------------------------------------------------------------------

Interested applicants can also email CV at [email protected] (for faster processing, please state the exact job / position title applied “Junior Data Analyst”

Only shortlisted candidates will be notified.

-------------------------------------------------------------------------------------------------------

EA License Number: 10C3636
EA Personnel Name: Jagveer Arora
EA Personnel Registration Number: R22109615

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire Data Scientist (GenAI/ML). This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Job Scope

• Develop and implement generative AI solution specifically tailored for manufacturing, focusing on improving efficiency, quality, and productivity.
• Create and manage AI/ML algorithm pipelines using Azure ML and other relevant cloud-native services.
• Refine pre-trained language models to address specific manufacturing problems, such as sales forecasting, predictive maintenance, quality control, or supply chain optimization.
• Build intuitive web applications to enable manufacturing teams to interact with and benefit from AI-powered tools.
• Work closely with cross-functional teams to understand their challenges, gather requirements, and deliver practical AI solutions.
• Continuously learn about the latest advancements in AI, ML, and NLP to apply to the company new AI projects.

Required

• Bachelor’s degree in Computer Science, Data Science, or a related technical field, with a strong emphasis on AI/ML and cloud technologies.
• 1 to 2+ years of relevant experience in machine learning, data science, software development, or a related role, with a proven track record in Generative AI project development.
• Proficient in NLP techniques, including prompt engineering, RAG, and advanced language models; deep understanding of machine learning algorithms
• Demonstrated experience in ETL processes for data ingestion, transformation, and loading to support AI model development.
• Proficiency in Python (Visual Studio Code, Jupyter Notebook) and machine learning frameworks (e.g., TensorFlow, PyTorch)
• Strong understanding of cloud platforms (Azure ML preferred)
• Expertise in React.js or similar front-end frameworks (Preferred)
• Strong team player with proven ability to collaborate effectively on projects.
• Demonstrated rapid learning ability and adaptability to new technologies.

WHAT’S ON OFFER:

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to [email protected]. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS:

Consultant Name : Nishant Pawar

Avensys Consulting Pte Ltd

EA Licence 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

Role Overview:

Seeking a highly skilled and motivated Data & AI Consultant. In this role, you will work closely with the investment, research, and technology teams to develop and implement advanced data analytics and AI-driven solutions. Your expertise will be crucial in enhancing investment strategies, optimizing operations, and providing actionable insights to support business growth.

Key Responsibilities:

• Data Strategy Development: Lead the design and implementation of data strategies that align with the firm’s investment goals, ensuring the effective use of data analytics and AI across all functions.
• Advanced Analytics: Develop and deploy predictive models, machine learning algorithms, and AI solutions to analyze large datasets, identify trends, and support decision-making processes.
• Stakeholder Collaboration: Work closely with investment teams, portfolio managers, and senior leadership to understand their needs and provide tailored data-driven solutions.
• Technology Integration: Collaborate with IT and technology teams to integrate AI tools and analytics platforms into the firm’s existing infrastructure, ensuring seamless operations.
• Research and Innovation: Stay ahead of industry trends and emerging technologies in AI and data science, and apply them to enhance our investment strategies and operational efficiency.
• Training and Development: Educate and mentor team members on data analytics, AI techniques, and best practices, fostering a data-driven culture within the firm.
• Performance Monitoring: Establish metrics and KPIs to measure the effectiveness of AI and data initiatives, providing regular reports to senior management.

Qualifications:

• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Finance, or a related field.
• Experience: 5 years of experience in data analytics, AI, or machine learning, preferably within the financial services, asset management or consulting industry
• Technical Skills: Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI) and AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Problem-Solving: Ability to translate complex data into actionable insights and present them to non-technical stakeholders.
• Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to diverse audiences.
• Collaboration: Proven ability to work effectively in cross-functional teams and manage multiple projects simultaneously.

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [email protected] with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Morgan McKinley Pte Ltd

EA Licence No: 11C5502 | EAP Registration No: R2095054

Key Responsibilities

• Collaborate with stakeholders, senior data scientists, and cross-functional teams to understand business objectives and requirements.
• Conduct comprehensive data analysis and apply advanced statistical techniques to identify patterns, and trends, and extract insights from large and complex datasets.
• Create visually appealing and insightful data visualizations to communicate complex findings and insights to both technical and non-technical stakeholders.
• Develop and maintain scalable data pipelines and workflows to process and analyze large volumes of data.
• Develop, validate, and maintain predictive models and algorithms tailored to specific business use cases such as customer segmentation and propensity models.
• Contribute to the design and implementation of experiments to test hypotheses and validate model performance.
• Work closely with machine learning engineers to deploy models into production and monitor their performance, providing insights and recommendations for optimization.
• Document methodologies, procedures, and findings clearly and concisely to ensure knowledge sharing and maintain accurate records.
• Stay abreast of emerging trends and advancements in data science and machine learning.

Requirements

• 4-7 years of experience in data science or a related field.
• Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and algorithm development.
• Strong programming skills in Python, R, SQL, or other programming languages.
• Deep understanding of statistical concepts and techniques, with experience applying them to real-world problems.
• Ability to visualize data, identify trends, and provide sound insights/ suggestions to internal stakeholders.
• Experience in the financial and insurance sectors will be advantageous.
• Experience with cloud technologies is ideal (AWS/GCP/Azure etc.)
• Eagerness to learn and adapt to new technologies and methodologies.
• Understanding of Generative AI methodologies, including Retrieval-Augmented Generation (RAG), re-ranker, vector databases, etc.

Company Reg No.: 201131609D | License No.: 11C4684 | Reg No: R1435178, Nadiah Marican

Key Responsibilities:
1. Utilize large-scale data to explore and build risk control capabilities that span the entire business lifecycle, supporting the healthy and sustainable growth of the business.
2. Collaborate with business teams to develop appropriate risk control strategies, generate risk analysis reports, and identify emerging risk points in business operations.
3. Work closely with business stakeholders to synchronize and address risk points, ensuring the resolution of potential issues within the business.

Qualifications:
1. Strong understanding of business and financial risk control, with experience in anti-fraud and anti-abuse strategies.
2. Demonstrated interest in finance and trading, with strong self-motivation, learning ability, and logical thinking. Experience in managing complex projects is a plus.
3. Excellent product thinking with the ability to use user insights and data analysis to support business decision-making.
4. Bachelor’s degree or higher, preferably in Finance, Computer Science, or a related field. Candidates with interdisciplinary backgrounds are welcome.
5. Proficiency in SQL, Python, A/B testing, and machine learning models.
6. 5+ years of working experience in relevant field

What you'll get in return
This is an exciting opportunity to join a global company. You will be part of a dynamic team and you will be remunerated at market competitive rates.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call Denise at Hays on +65 9611 0531 or email [email protected] for a confidential discussion.

Referrals are welcome.

EA Reg Number: R21103035

EA License Number: 07C3924 | Company Registration No: 200609504D

Overview

Are you passionate about helping customers transform their businesses? Microsoft is at the forefront of this transformation; come and help organizations rethink aspects of their business in a way that sets them and their people up for success.

The main goal of Microsoft Technology Specialists (TS) is to win the technical decision of customers to purchase and use our technology. The TS is expected to be able to both own and win customers’ technical decisions, as well as find new opportunities through their contacts and engagements for sales specialists to pursue. As a TS, you work within a virtual team of technical, partner and consulting resources to help educate your customers at a technical level, demonstrate, and prove our solutions, and win the technical decision, allowing the team to achieve/exceed quarterly sales targets in your accounts. Being part of this team will allow you to maintain and develop your deep technical expertise across Microsoft and non-Microsoft cloud-based technologies.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Own technical discussions with customers leveraging processes and tools, demos, and programs using consultative sales methodology and technical expertise to influence the customer vision; establish rules of engagement for extended teams.
• Build technical strategy: map the agreed customer vision into a strategy, resolve concerns, preventing and removing technical blockers and validating a strong business case for investment and translated technology complexity into business impact. Work with the customer, account team, and partners to orchestrate a roadmap for implementation guiding the customer to choose the best Microsoft Intelligent Data and Analytics platform and win the AI Design, inclusive of Microsoft AI, Application services, and Databases.
• Design the solution using your technical knowledge, architectural approach, consultancy skills and our methodology to win a customer’s technical decision and meet the customer’s needs; drive POCs/Pilots to create momentum infusing key AI technologies where appropriate
• Support the creation of new pipeline in collaboration with the Specialist and account team by identifying new opportunities within customer engagement
• Maintain and grow expertise in Database scenarios including Cosmos DB, SQL DB, PostgreSQL and in Analytics, Data warehousing, Data Engineering, Data Science including Intelligent Data and Analytics Platform (Azure SQL DW, Lakehouse architecture, Fabric, Azure Databricks, Power BI), and relevant AI technologies while keeping up to date with market trends and competitive insights; collaborate and share with the Data & AI technical community.
• Be the Trusted advisor and use proactive effort to find and understand customers’ pain points and work with partners to design and offer solutions to technical leaders by being a Microsoft AI and Analytics platform evangelist.
• Be the Voice of Customer to share insights and best practices with Engineering, to remove key blockers and drive product improvements.

Qualifications

Required/minimum qualifications

• Master's Degree in Computer Science, Information Technology, or related field AND 3+ years technical pre-sales or technical consulting experience
• OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience
• OR 5+ years technical pre-sales or technical consulting experience OR equivalent experience.

Additional or preferred qualifications

• Certification in relevant technologies or disciplines (e.g., Office 365, Power BI, Azure Architect and Development exams, Cloud Platform Technologies, Information Security, Architecture).
• 4+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
• 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

• Accountable for driving continuous improvement in data governance culture/technology and expansion of data governance initiative.
• Lead the assessment of data management needs to adhere to organisational strategic objectives and provide solutions and estimates around the enhancement and upgrade needs to cater to the change in business needs
• Drive the awareness and establishment of data-related improvement initiatives across the business
• Extensive consulting experience around all aspects of Data Governance, including but not limited to building Data Governance operating model, DG structure, communication model, DG Roles and responsibilities, performing Data Maturity assessment, Data-Quality framework, Metadata Management, Data Retention and disposition policies, data naming standards etc.
• Ability to manage senior management relationships across all the business and functional areas.
• Committed to quality, precision and timeliness in deliverables and ensuring team members are aware of responsibilities and work as a team.
• Strong understanding of Data Governance concepts; must have experience in implementing DG Framework for large organizations
• Should be aware of industry best practices for setting up a Data Governance framework and operating model
• Knowledge of data-related regulatory requirements and emerging trends and issues that impact enterprise data governance.
• Must appreciate the people, process, and technology aspects of Data Governance and must be aware of various components (or sub-practices) within Data Governance, e.g. Data Governance culture, Data Quality, Master Data Management, Metadata Management.
• Support stewardship activities and training and guidance for stakeholders on approved Data Governance policies & standards
• Support DG benefits quantification and performance measurement

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of "Using technology to promote social progress, economic development and become a global customer preferred partner" and our concept of "Beyond your expectations", Beyondsoft is committed to provide our customers in countries along the "Belt and Road" with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

Our core business includes:

1. IT development services providing customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
2. New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
3. Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.

For more information, please visit www.beyondsoft.com.

RESPONSIBILITIES

• Identify and implement opportunities to enhance Data Centre Operations, focusing on production stability, stakeholder experience, and service quality.
• Identify automation opportunities within production processes to streamline operations and reduce manual intervention
• Timely escalation, communication, and resolution of major incidents, following the escalation matrix. Lead, drive, and facilitate investigation activities.
• Participate in troubleshooting system and network connectivity issues before escalation.
• Track production metrics and performance indicators to ensure operational targets are met.
• Ensure compliance with safety and regulatory standards in production.
• Perform other duties as instructed.

• Bachelor's degree in computer science/ information technology/ engineering or equivalent
• Minimum 3 years of IT experience as a Level 1 Production Operations Engineer.
• Strong analytical skills for process improvement and optimization.
• Technical proficiency in production systems with effective problem-solving capabilities.
• Experience with Data Centre facilities, including temperature/humidity monitoring systems, smoke detection, fire suppression systems, Uninterrupted Power Supply (UPS) units, CCTV, keypress units, etc.
• Familiarity with AWS tools such as CloudWatch and CloudTrail is advantageous.
• Able to work shift duties.