Upstream Data & AI Manager

Work Location: Singapore

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners, and communities.

What will you do?

· As an AI Strategy Practitioner, you will apply industry and AI expertise to build data and AI strategy, business case and roadmap to identify AI value opportunities across the business value chain.

· You will create a Data & AI platform and capabilities blueprint, target operating model including implications for larger talent strategy.

· You are expected to be an SME, collaborate and manage the team to perform. You will be responsible for team decisions and will engage with multiple teams and contribute on key decisions.

· Additionally, you are expected to provide solutions to problems that apply across multiple teams.

· Architect and implement infrastructure for large scale training and inference of Gen AI models

· Architect and implement infrastructure for large scale Gen AI application development and operations

· Optimize infrastructure for performance, cost, consumption, and scale

· Evaluate AI infrastructure options

· Advise on technology and vendor selection

· Architect and design operational controls for Gen AI platform and infrastructure

· Architect and implement observability solutions for Gen AI platform and infrastructure and associated control towers

Job Qualifications

· As an AI Strategy Practitioner, you will apply industry and AI expertise to build data and AI strategy, business case and roadmap to identify AI value opportunities across the business value chain.

· You will create a Data & AI platform and capabilities blueprint, target operating model including implications for larger talent strategy.

· You are expected to be an SME, collaborate and manage the team to perform. You will be responsible for team decisions and will engage with multiple teams and contribute on key decisions.

· Additionally, you are expected to provide solutions to problems that apply across multiple teams.

· Architect and implement infrastructure for large scale training and inference of Gen AI models

· Architect and implement infrastructure for large scale Gen AI application development and operations

· Optimize infrastructure for performance, cost, consumption, and scale

· Evaluate AI infrastructure options

· Advise on technology and vendor selection

· Architect and design operational controls for Gen AI platform and infrastructure

· Architect and implement observability solutions for Gen AI platform and infrastructure and associated control towers

All our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You’ll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.

HR

Job description:

• Supporting the recruitment administrative duties such as creating and updating job postings on job boards, career page and other media, screening candidates and interview coordination.
• Training and course arrangement
• Assist the manager in sorting, tabulating, and evaluating data.
• Office tasks including printing, booking, and other tasks vary based on the work and the WFH setting.

• Without prior experience.
• Flexible hours or office hours.
• good experience for learning.
• High JOB PROGRESSION IS AVAILABLE!
• Talented individuals WANTED!!

LIMITED SLOTS LEFT!

Text 97234992 for more details and other job opportunites

§ Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
§ Experience in designing application solutions in hadoop ecosystem
§ Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
§ HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
§ Good knowledge in data warehousing system
§ Experienced in any scripting language (SHELL, PYTHON)
§ HortonWorks distribution and understanding on SQL engines (Tez, MR)
§ Java/RestServices/Maven experience is a value addition
§ Control-M development. Monitoring Resource utilization using Grafana Tool
§ Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
§ Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
§ Skillset:
o Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
o Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

Deloitte Forensic is the pre-eminent forensic practice in Singapore and Southeast Asia and advices local, regional and global clients in the complex areas of Disputes, Discovery, Forensic Analytics, Forensic Investigations (including, fraud, corruption and misconduct), and Financial Crime Advisory.

Role and Responsibilities

As an Analyst, you will be involved in a wide range of projects, including:

• Work with team leads to provide high-quality, professional day-to-day execution engagements

and projects in line with the firm's risk management practices for clients across a wide range

of industries.

• Analyzing large and disparate data to support or refute the facts and allegations of disputes,

investigations, and litigations.

• Work as a team member and contribute to AML projects which includes data preparation,

model design, model development, implementation, documentation, and on-going validation &

optimization of rules/ scenarios.

• Helping clients to assess and leverage new data sources, techniques, and technologies to

improve business processes and compliance.

• Contributing to impactful recommendations on clients’ operating models, including people,

process, technology, and data considerations

• Maintain professional and positive client interactions whilst providing support, including

dealing with ad-hoc queries.

• Supporting projects from other Deloitte Forensic service lines, as and where required

• Contribute to personal and overall team development, through staying up to date with forensic

accounting-related news, and technical and regulatory developments.

• Support Manager/Director in developing marketing collateral, business proposals, and new

solution / methodology development.

• Develop and maintain relationship with strategic (internal and external) service providers.

Requirements

• A university degree in accounting, computer science, information management or related skills

• Demonstrable experience and fluency in three or more of the following technical areas are essential:-

• Strong data manipulation and analysis skills (e.g. SQL, R, Python, Hive, SAS).

• Experience with industry standard RDMS (eg. Oracle, MSSQL, PostgreSQL).

• Database design and development (ie. Microsoft SQL Server or IBM DB2).

• Data loading and ETL solutions (ie. Microsoft SSIS or IBM DataStage ).

• Reporting and data visualisation tools (eg. Microsoft SSRS, Tableau, Power BI, Qlikview, D3).

• Scripting or programming experience (eg. C#, VB.net, Java, Python).

• Experience of text analytics through use of taxonomies, concept searching, machine learning and/or clustering.

• Strong conceptual, analytical, and critical thinking with the ability to dive deep into analytics while also contributing to larger strategic discussions.

• A “can do” attitude with the sense of urgency and the confidence to build problem-solving partnerships with clients and colleagues and set and manage aggressive goals for self and others.

• An ability to present complex quantitative analyses and recommendations to both technical and non-technical audiences, including senior client executives, in a clear, concise and actionable manner.

• Strong writing skills to contribute to proposals and the production of deliverables.

• Accounting knowledge would be beneficial

• Enthusiasm for learning new things and a willingness to teach others.

Responsibilities

As a key contributor to our team, you will help build a robust Data Platform that powers analytics and AI-driven solutions. Your responsibilities include:

• Building and maintaining end-to-end data systems using tools like Python, Scala, or similar.
• Designing, developing, and managing data pipelines for real-time decision-making, reporting, and data collection.
• Implementing processes to ensure data quality, governance, and security.
• Developing ETL/ELT processes and working with structured, semi-structured, and unstructured data.
• Creating and optimizing data models and workflows to support data transformation and storage.
• Leveraging cloud data technologies and services, including Azure, for scalable and efficient data solutions.
• Collaborating with cross-functional teams to produce high-quality, well-tested, and secure code.
• Utilizing tools such as Spark Streaming, Delta Tables, and Databricks for handling large datasets.
• Managing diverse data stores, including data warehouses, RDBMS, and in-memory caches.
• Supporting data-driven decision-making with innovative solutions and advanced analytics.

Qualifications

Required Skills:

• Education: BS/MS in Computer Science, Information Systems, Data Analytics, or equivalent experience.
• At least 2+ years of experience in:Building pipelines and incorporating workflow tools into data system designs.
  ETL/ELT, Data Warehousing, or Business Intelligence Development.
  Leveraging SQL for data investigations and problem-solving.
  Working with cloud platforms and services for data processing and storage.
  Handling structured, semi-structured, and unstructured data across diverse storage systems.
  
• Hands-on experience with:Large datasets and tools like Databricks or PySpark.
  Storage systems such as Azure Data Lakes or other cloud-native solutions.
  Spark Streaming and creating Delta (Live) Tables.
  
• Strong background in design, implementation, and testing for scalable data solutions.
• Proficiency in developing for continuous integration and automated deployments.
• Ability to work in a collaborative environment with excellent communication skills.

Preferred Skills:

• Experience with microservices platforms like Kubernetes, Docker, and Helm Charts.
• Familiarity with event-driven streaming systems (Kafka, Event Hub, Event Grid, Apache Flink).
• Knowledge of advanced tools such as DBT or Data Vault methodologies.
• Experience with Microsoft Fabric or administering BI tools.
• Proficiency in additional programming languages like JavaScript, Java, or C#.
• Ability to guide and mentor other developers, providing technical leadership and expertise.

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is looking for Data Quality Engineer/Analyst

Internal Code: A24122

This is a healthcare application:

• Mobile application (iOS and Android)
• Dashboard (React)

What will you do?

Support the development and business teams in unit testing and archiving data, engineered features, and algorithmic inputs/outputs throughout the data pipeline and to support analytics.

Proven experience as a data engineer/ data analyst in mobile app development projects and administrative dashboards.

1. Create unit tests throughout the data and algorithms domain:

• Work with engineering and business teams to implement wide-coverage unit tests of data and engineered features at different stages throughout the data collection and processing pipeline
• Create unit tests of inputs to and outputs from the algorithms that drive the clinical service
• The unit tests include validation of the inputs and outputs of black-box machine learning algorithms
• Establish a regular process to execute the tests and document their outcomes as a part of our product development and release lifecycle

2. Implement and refine mechanisms to continuously archive the state of algorithmic inputs and outputs:

• Implement a process of taking snapshots of data/features input into algorithms necessary to recreate their outputs/predictions at any point in the past during the service
• Communicate requirements to the software development team

3. Assist in the successful delivery of regular service analytics and reports:

• Support the business and analytics teams in their daily and weekly delivery of reports on data completion, user engagement, and algorithm actions by addressing any data quality and validation requirements.

What are we looking for?

• Bachelor's Degree in computer science, engineering, business analytics, technology, or a related field.
• Minimum of 2 years of experience in data engineering, data analytics, or data product management roles within the tech industry. Experience in healthcare is a plus.
• Ability to implement tests in Python.
• Experience in machine learning algorithms
• Good understanding of the validation requirements of an algorithmic product. Knowledge of healthcare regulation and auditing requirements is a plus.

What do we offer in return?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice () to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Zenith Infotech (S) is a Tech Recruitment firm with 27 years of experience in Singapore, supporrting clients in terms of ICT Consultant placments.

Currently we are looking out for a Data Analyst with 3 years of experience, best working in Contact Center enviornment before or presently.

Responsibilities :

• Extract and clean the data from various data sources to generate daily, weekly and monthly reports.

• Writing SQL queries to retrieve information quickly.

• Fulfil ad-hoc data request from client and management.

• Work / Collaborate with Developer(s) to automate reports

• Liaise with client on data related queries

• Analyze contact center performance metrics, including call volume, response times, and customer satisfaction scores.

• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).

• Identify trends and patterns in data to inform operational improvements and strategy.

• Collaborate with management and other departments to develop actionable insights and recommendations.

• Support the implementation of process improvements based on data findings.

• Ensure data integrity and accuracy.

• Assist in forecasting demand and capacity planning based on historical data trends.

• Stay updated on industry best practices and emerging technologies in data analysis.

• Perform other duties and responsibilities that may be assigned to you by the management within your category of employment.

Qualifications and Skills:

• Minimum Bachelors in Business, Computer Science, Mathematics, Data Analytics, or a related field.

• At least 1 to 3 years of experience building reports using Excel, SQL AWS Quick sight or any other business intelligence and data analytics tools.

• Proficiency in data analysis tools (e.g., Excel, SQL, Python) and data visualization software (e.g., Tableau, Power BI).

• Proven experience in data analysis, preferably in a contact center environment.

• Strong communication and presentation skills

• Proactive and able to work independently with minimum supervision.

• Excellent time management with strong critical thinking and ability to handle pressure.

• Detail-oriented with a strong focus on accuracy and data integrity.

• Familiarity with statistical analysis and modeling.

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes -Working in the financial or banking industry & Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in - Python development & Hadoop platform (Hive, HDFS, Spark).
• 3–5 years of experience in- Unix shell scripting & SQL development.
• 2–3 years of experience in Spark programming.

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment,often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in -Python development & Hadoop platform (Hive, HDFS, Spark).
• 3–5 years of experience in - Unix shell scripting & SQL development.
• 2–3 years of experience in Spark programming.

• Min 8 years of experience.
• At least 8 years of data-related working experience, with at least 5 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

§ Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
§ Experience in designing application solutions in hadoop ecosystem
§ Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
§ HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
§ Good knowledge in data warehousing system
§ Experienced in any scripting language (SHELL, PYTHON)
§ HortonWorks distribution and understanding on SQL engines (Tez, MR)
§ Java/RestServices/Maven experience is a value addition
§ Control-M development. Monitoring Resource utilization using Grafana Tool
§ Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
§ Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
§ Skillset:
o Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
o Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

Position Summary/Overview:

• The Data Center Operation technician has overall responsibility to support the troubleshooting and coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Responsibilities:

• Design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization platforms.
• Perform data extraction, cleaning, transformation, and flow, including web scraping as required.
• Build, launch, and maintain efficient, reliable large-scale batch and real-time data pipelines using data processing frameworks.
• Collaborate with cross-functional teams, including Project Managers, Data Architects, Business Analysts, and others, to develop scalable data-driven products.
• Develop backend APIs and manage databases to support applications.
• Work in an Agile environment, practicing Continuous Integration and Delivery (CI/CD).

Experience and Skills Required:

• Proficiency in data cleaning and transformation tools (e.g., SQL, pandas, R).
• Expertise in building ETL pipelines using tools such as SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, and AWS Lambda.
• Strong database design skills and experience with various databases (e.g., SQL, PostgreSQL, MongoDB, MySQL).
• Familiarity with cloud technologies (AWS, Azure, Google Cloud).
• Knowledge of system design, data structures, and algorithms.
• Proficiency in scripting languages (e.g., SQL, Python).

Responsibilities:

• Design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization platforms.
• Perform data extraction, cleaning, transformation, and flow, including web scraping as required.
• Build, launch, and maintain efficient, reliable large-scale batch and real-time data pipelines using data processing frameworks.
• Integrate and consolidate data silos in a scalable and compliant manner.
• Collaborate with cross-functional teams, including Project Managers, Data Architects, Business Analysts, and others, to develop scalable data-driven products.
• Develop backend APIs and manage databases to support applications.
• Participate in pair programming and code reviews with fellow developers.

Experience and Skills Required:

• Proficiency in data cleaning and transformation tools (e.g., SQL, pandas, R).
• Expertise in building ETL pipelines using tools such as SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, and ECS Container tasks.
• Strong database design skills and experience with various databases (e.g., SQL, PostgreSQL, MongoDB, MySQL).
• Experience with cloud technologies (AWS, Azure, Google Cloud).
• Familiarity with big data frameworks and tools (e.g., Hadoop, Spark, Kafka).
• Proficiency in scripting languages (e.g., SQL, Python).

INFORMATION:

As a Data Center Segment expert, the Sales Engineer is responsible for leading, developing sales strategies and plans as well as generate new business opportunities to the company.

The position does this by locating, developing, defining, negotiating, and closing business relationships with potential and existing key accounts, end customers, consultants, and system integrators.

The position maintains extensive knowledge of current market conditions, competitive positions, and solutions/services that PS can provide to develop the pipeline of business coming into the company.

This position has the ultimate objective to aggressively achieve profitable growth through monitoring of Data Center project pipelines and assisting to convert these into actual orders.

RESPONSIBILITIES

Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.

Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.

Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.

Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.

Establish budgetary forecasts and sales volume targets for the SEA DC market.

Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.

Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.

Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.

Analyze sales and marketdata to provide relevant information to senior management for decision making.

Plays an active role in promoting PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.

Be the expert in Data Center power products and solutions, industry standards and overall on-site power system design and integration.

TRAVEL

This position requires travel up to 50%.

REQUIREMENTS

Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.

Solid proven direct and channel sales track record. Able to present and negotiate with senior executives and decision makers both internally and externally.

Results driven, strong will to compete and win in a business environment.

A good team player and enjoys interacting with people of all levels.

Able to travel frequently and work independently.

CRITICAL TECHNICAL, PROFESSIONAL AND PERSONAL CAPABILITIES / SKILLS

Experience in Data Center segment is critical to the growth of PS business. Strong technical knowledge of power generation products and solutions. Has good knowledge of industry standards and requirements.

Strong people and communication skills that engages and motivate others. Able to stimulate new thinking and remain customer focused.

Strong drive to succeed; motivated, energized and demonstrates high level of enthusiasm.

Excellent team player. Able to lead or participate in cross-functional teams to achieve goals and objectives. Objective, open-minded and receptive to feedback.

WORKING HOURS / LOCATION

5-day work week

8.30am to 5.15pm

Located in Jurong

OTHER BENEFITS

Annual leave - 15 days up to 21 days

Medical, dental, optical and annual health screening benefits

Company transport provided at Boon Lay MRT station

Other allowances applicable

Interested applicants, please attach your resume with your current salary. expected salary, reasons for leaving and notice period upon application.

Gladwin Teo Jian Rong

EA No. 23C1599

EA Personnel no. R1768774

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

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

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

About the Team

TikTok’s data scientist team is a critical component of the platform’s success, responsible for leveraging data to enhance user experience, optimize content delivery, and drive business decisions. As a leading social media app known for its short-form video content, TikTok relies heavily on data science to stay ahead in a competitive market.

Job Description

- Conduct data analysis in LIVE related business, including watching experience, creator ecosystem, agency management, algorithm improvement and etc..

- Design metrics framework to measure product healthiness, keep tracking of core metrics and understand root causes of metric movements.

- Conduct scientific evaluation with statistical methods, including A/B testing and casual inference.

- Identify growth opportunities with data analytics, and drive business decisions. Work with PM/MLE/RD to deliver product and strategy improvement.

- Research data science theories and methodology, improve analysis efficiency and data product tools.

Qualifications

Minimum Qualifications:

- Bachelor's degree with 3 years of related work experience.

- Expertise in SQL and programming in Python or R.

- Familiar with A/B testing

- Strong analytical and causal reasoning mindset, and rigidity on statistical correctness. Strong communication and passion about product challenges.

Preferred Qualifications:

- Experience of LIVE related business.

- Knowledge of machine learning and recommendation systems.

- Experience with big data technologies.

TikTok 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 TikTok, 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.

COMPANY DESCRIPTION

Located on Jurong Island, the petrochemical hub of Singapore, SRC operates a refinery that is capable of processing 290,000 barrels of crude oil per day to produce fuel products and chemical feedstocks that are supplied to domestic markets and overseas export markets under the brand labels of its shareholders.

RESPONSIBILITIES

Selected candidate will be engaged under a third-party agency payroll for the tenure of employment in SRC. 2-year contract (with possibility for contract renewal).

Key Responsibilities:

• Maintain and update database in Asset Management System and Excel.
• Organize and manage data for easy retrieval and analysis, ensuring data accuracy and integrity.
• Develop dashboards in Power BI to enhance asset management.
• Compile and attach reports from various sources.
• Provide general clerical support, including filing, copying, and scanning documents.
• Coordinate with other departments to gather necessary information.
• Handle correspondence and communication related to technical tasks.

• Diploma related to IT / Engineering is required.
• At least 1-2 years of experience in a clerical or administrative role.
• Strong proficiency in Microsoft Excel, including advanced functions and formulas.
• Basic knowledge of report generation and document management.
• Experience with data management and analytics is highly desirable.
• Previous experience in a technical or engineering environment is a plus.
• Power BI advanced user certification and experience handling "big data" is an advantage.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• A minimum of 2 years of work experience in quantitative analysis (minimum of 1 years with a Ph.D.).
• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
• A minimum of 2 years experience leading product analytics and influencing product roadmap
• A minimum of 2 years experience designing and running A/B tests
• Experience understanding ecosystems, user behaviors and long-term product trends
• Core statistical knowledge
• Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.

Preferred Qualifications

• Masters or Ph.D. Degree in a quantitative field.

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Hey! Hey!

Join us and unleash your potential! As a leading agency in Southeast Asia, we're on a mission to elevate brands and empower our team. Ready to conquer your fears and seize endless opportunities? Let's make it happen together!

What is in it for YOU ✨
- Overseas traveling exposure trips
- Positive vibes and enjoyable team atmosphere with frequent team-building activities
- Soft skills upgrade
- Leadership skills development

Your Day-to-day Program Includes ✨
- Managing sales and operations through on-site assistance

- Be involved in client’s marketing through business development

- To lead a sales and marketing team and facilitate the team’s growth
- To achieve sales targets and improve the sales of the client’s company

Requirement:
- Keen learning attitude and enjoy interacting with new people
- Hunger for personal development and progress
- No experience? Fear not, 1-1 mentorship and guidance are provided!

Join us today!

Site Construction Manager with CSA and MEP work experience on Data Center Projects preferred.

Job Descriptions:

• Monitor and review master construction programme and preparation of catch-up programme if applicable
• Monitor and supervise Engineers/foreman, ensure compliance of the qualify procedure & standard of workmanship. Checking on quality and quantity of work by subcontractors
• Preparation of detailed programme for site team to follow accordingly and complete on time
• Resolve drawing discrepancies and technical difficulties with technical team
• Preparation of detailed method statements and work instructions for construction
• Coordinate between Private Client / sub-contractors /inter-departments and monitor site manpower and resources to meet schedules
• Liaise with the Design team on the submission of related CSA & MEP works and technical issues
• Plan all works on site, including programme schedules and construction methods, forecast equipment, material and manpower requirement usage etc
• Monitor progress against programme and cost against budget
• Promote and enforce a safe working environment
• Ensure works are compliant with the specifications and QA requirements

Job Requirements:

• Degree/Specialist Diploma in Civil Engineering/ Electrical Engineering / Mechanical Engineering or equivalent
• 10 years of relevant CSA & MEP project management experience i.e. RC works, Building works which includes experience in Data Center projects with 5 years in Site / Construction Manager roles and operational experience.

Position Overview

The IT Data Analyst, APAC reporting to Head of IT, APAC will play a critical role in driving breakthrough results for Shark Ninja’s APAC operations by developing and operationalizing data-driven solutions. This role will focus on creating and maintaining business dashboards, market share reporting, investment analysis, NPD tracking, and setting the stage for a comprehensive APAC Data Warehouse and Reporting solution.

Here are some of the EXCITING things you will get to do:

Roles & Responsibilities

APAC Data Warehouse and Reporting Solution:

• Work closely with stakeholders to map out the current IT data landscape, understanding data sources, granularity, and update frequency.
• Support the Data Cloud & Architect Manager in the setup of a future state data warehouse and reporting solution.
• Rebuild and transition reports from existing platforms (Power BI, Tableau) to the finalized reporting tool.

Holistic Business Dashboard Development:

• Consolidate and define key business KPIs across financial, commercial, and operational metrics.
• Design workflows to streamline the dashboard creation process, integrating with current systems and preparing for future data warehouse implementation.
• Provide high-level analysis and actionable insights to drive APAC business performance.

Market Share Reporting & Analysis:

• Develop a standardized dashboard for market share reporting across local markets.
• Automate market share reports and collaborate with the sales and CI teams to provide insights on SharkNinja’s portfolio and key competitors.
• Operationalize monthly market share highlights for timely and impactful reporting.

Investment Analytics:

• Collaborate with cross-functional teams to design frameworks for assessing ROI for various investments
• Provide insights on investment effectiveness and assess data readiness across regions for further application.

NPD (New Product Development) Launch Readiness Tracking:

• Develop systems to efficiently track NPD readiness, highlighting the potential for market success.
• Operationalize post-launch tracking to assess progress toward key targets and enable timely course correction.

Required qualifications / experience:

• Min Masters in Data Science, Business Analytics, Information Technology, or a related field.
• Strong proficiency in data analysis tools (e.g., SQL, Power BI, Tableau, Excel) and experience in developing dashboards and reporting systems.
• Excellent problem-solving and analytical skills, with a focus on actionable insights.
• Experience collaborating with cross-functional teams (sales, marketing, finance).
• Familiarity with data warehousing principles and reporting tool integration.
• Strong communication skills, with the ability to present complex data insights to stakeholders at various levels.

PRIMARY DUTIES AND RESPONSIBILITIES

1. Customer Invoicing and Quotation Management: Prepare and process customer invoices, set up quotations, and ensure timely and accurate billing.
2. Customer Onboarding and Support: Coordinate new customer onboarding to ensure seamless integration and ongoing support.
3. Billing Process Oversight: Monitor and maintain the accuracy, efficiency, and compliance of billing processes, addressing discrepancies as needed.
4. Data Management and Reporting: Process, validate, and reconcile billing data to ensure accuracy and consistency, converting it into formats suitable for invoicing and reporting.
5. Collaboration with Cross-Functional Teams: Work closely with IT, finance, and other teams to align on data requirements and enhance operational workflows.
6. ETL/ELT and Automation Support: Assist in developing, maintaining, and optimizing ETL/ELT pipelines and automating data workflows to improve efficiency.
7. System Monitoring and Troubleshooting: Monitor systems performance, ensure stability, and troubleshoot issues related to data extraction, reporting, and integration.
8. Compliance and Process Improvement: Ensure compliance with company policies and regulatory standards, contributing to projects and initiatives to enhance processes and reporting.

JOB REQUIREMENTS

• Minimum Diploma in Finance/Accountancy/IT or equivalent
• At least 2 years of relevant working experience, preferably in a Logistics Company
• Well versed in Microsoft Excel, SQL, experience in Oracle System will be an advantage
• Independent and fast learner
• Good initiative and work attitude
• Experience with data visualization tools
• Attention to detail and a proactive attitude toward learning and development.
• Exposure to Oracle EBS or Other ERP software

• Helping to clean and validate customer, supplier and inventory data by identifying and correcting errors and inconsistencies. Ensuring accuracy and completeness of data.

• Collaborate with team members to interpret data and support decision-making processes

• Perform data analysis using various tools and techniques to extract insights and trends. Good knowledge of Power BI is an advantage for building visualization dashboards. Strongly self-motivated, proactive, and willing to learn due to our knowledge limitation in Power BI.

• Use of data storytelling to do walkthroughs on the reports' contents and data insights to users.

• Improve the data collection and cleaning methods through automation.

• Documenting the details of ERP processes and other related information for future reference.

• Perform ad-hoc data analysis.

We are a leading Outsourced Global Sales & Marketing Agency based in Singapore, and we're expanding, looking to groom the next leaders of the industry and bring their careers to greater heights!

Here at Euphoria Organisation, we know that in any sales & marketing agency, the magic starts with our people.

If you are driven, ambitious and love to network, WE WANT YOU!

Requirements:

•Excellent ethics & Positive Attitude

•Leadership potential & ready to take on challenges

•Teamplayer and enjoys interaction

Your Role:

•Implementing ethical sales techniques through face to face marketing

•Lead a drive a team towards a common goal

•Running and overseeing marketing campaigns and projects

What We offer:

•Travel opportunities

•Career Progression

•Fun & Family Like environment

•Upskilling

•One on One Mentorship & support system

Sounds like what you are looking for?

Apply now! Fresh Grads/ORD/looking for career switch, are welcomed!

Prefer to be working in a FUN, YOUNG and DYNAMIC team?

We are Expanding and We want you !

WHAT DO WE DO :

With our proven in-house training program, we empower clients to boost their sales revenue and brand visibility through engaging several marketing channels. This involves identifying potential customers, showcasing in-depth product knowledge, and fostering face-to-face interactions with clients and customers

HOW CAN WE EMPOWER YOU :

• Tested and proven suite of solutions/strategies for you to empower your customers
• Positive, Exciting & Supportive Work Environment. Work Hard , Play Harder !
• Personalised 1-on-1 Training and Development
• Buddy support system
• Opportunities for Personal Development (Interpersonal, Understanding of different personalities and more)
• Clear Career Advancement Pathways
• Travel Opportunities (3-4 times a year based on performance)

WHAT WE WANT FROM YOU :

• No Prior Experience Required
• Eagerness to Learn and Grow
• Strong Communication Skills
• Team Player Mentality