Total 1,448 Senior Executive data entry clerk job vacancies in Singapore

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.

To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

We Are BCG X

We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.

What You'll Do

Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.

As a Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.

Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative.

We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following:

• Comfortable in a client-facing role with the ambition to lead teams
• Likes to distill complex results or processes into simple, clear visualizations
• Explain sophisticated data science concepts in an understandable manner
• Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
• Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data
• Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients
• Have strong project management skills

What You'll Bring

• Master’s Degree or PhD with significant relevant experience providing advanced analytics solutions. The degree should be in computer science, applied mathematics, statistics, machine learning, or a related data centric field.
• Demonstrated deep technical and data science expertise, acute strategic and analytical skills, ability to lead and persuade, drive and energy, and desire to work in a project-based environment on strategic issues.
• Strong record of professional accomplishment and leadership.
• Fluency in at least one scripting language (e.g. Python, R)

Additional info

Ability to travel based on client and business needs. Expect 30-50%

Trainee - Entry Level
Salary : $2000
Working Days : 5 Days [ 44 Hours Rostered Schedule ]
Working Location : Island Wide [ Outlet to be allocated Upon Interview

Tea Barista - 1-2 Years Experience [Non Relevant to F&B // Retail will do]
Salary : $2500 (Probation) -> After Probation $2700 [ 3 Months Probation]
Working Days : 5 Days [ 44 Hours Rostered Schedule ]
Working Location : Island Wide [ Outlet to be allocated upon Interview ]

Senior Tea Barista - 1-2 Years [ Relevant Experience to F&B ]
Salary : $2800 (Probation) -> After Probation $3000 [ 3 Months Probation ]
Working Days : 5 Days [ 44 Hours Rostered Schedule ]
Working Location : Island Wide [ Outlet to be allocated upon Interview]

If interested, submit your resume and contact me here

Whatsapp +65 8854 1564 (Albert) | https://wa.me/6588541564

Yap Teck Huat Reg No: R24122623

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Job Description

• Greeting customers in a friendly manner and manage customers queries in a timely and efficient manner
• Prepare beverage according to standardized recipes and customer preferences
• Utilize proper brewing techniques and equipment to ensure the quality and consistency of each beverage served
• Provide friendly and attentive customer service, greet customers warmly and assist them in selecting their beverage based on their preferences and dietary restrictions
• Prepare drinks by following the prescribed recipes and preparation techniques
• Accurately process customer orders, handle cash and electronic payments
• Act in compliance to operational policies and procedures
• Maintain cleanliness and sanitation standards in the tea barista area, including brewing equipment, serving utensils, and workstations to meet the requirements of Health & Safety and Hygiene Protocol
• Ensure sufficient stock at all time by monitoring tea inventory levels, reporting discrepancies, restocking supplies handling stock delivery upon arrival as needed and communicating inventory needs to management

Job Requirement

• 3 Weeks Training with Test for all Roles.

Working location: UE Bizhub West

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

JOB DESCRIPTION

• Develop and schedule engaging content for social media platforms
• Manage and update the company’s social media profiles
• Monitor social media channels for customer inquiries and comments, responding promptly
• Plan and execute social media campaigns to promote products, services, and events
• Collaborate with the marketing team to align social media efforts with overall marketing strategies
• Track and analyze the performance of social media campaigns using analytics tools
• Prepare reports on social media activity, engagement, and growth
• Engage with followers by liking, commenting, and sharing relevant content
• Foster community growth by interacting with the audience and encouraging user-generated content
• Stay updated on social media trends, tools, and best practices
• Implement new strategies to keep the company’s social media presence innovative and effective

JOB REQUIREMENT

• Minimum Diploma and above
• Strong communication and writing skills
• Proficiency in using social media platforms and management tools
• Creative thinking and ability to develop engaging content
• Hardworking with high initiative and willing to take on new challenges

EA Reg. Number: R21100629

EA License Number: 22C1278

Senior Data Engineer In this role, you can expect to: ● Support the business’s goal of democratisation of data and data products. ● Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting. ● Collaborate in partnership with diverse teams across organization such as product engineering, data science and business stakeholder teams to successfully deliverbusiness 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 organization 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. You should be able to: ● Build and maintain streaming and batch data pipelines. ● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts. ● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs. ● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products. ● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg. ● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports. ● Adhere and have practised Agile Methodology such as Scrum. ● Implement adhering to Master Data Management Best Practices and Principles. ● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling. It would be great if you had: ● 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. ● Good communication skills for Data and Analytics concepts and methodologies and how they are relevant to your stakeholders.

Senior Data Engineer In this role, you can expect to: ● Support the business’s goal of democratisation of data and data products. ● Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting. ● Collaborate in partnership with diverse teams across organization such as product engineering, data science and business stakeholder teams to successfully deliverbusiness 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 organization 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. You should be able to: ● Build and maintain streaming and batch data pipelines. ● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts. ● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs. ● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products. ● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg. ● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports. ● Adhere and have practised Agile Methodology such as Scrum. ● Implement adhering to Master Data Management Best Practices and Principles. ● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling. It would be great if you had: ● 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. ● Good communication skills for Data and Analytics concepts and methodologies and how they are relevant to your stakeholders.

In this role, you can expect to: ● Support the business’s goal of democratisation of data and data products. ● Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting. ● Collaborate in partnership with diverse teams across organization such as product engineering, data science and business stakeholder teams to successfully deliverbusiness 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 organization 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. You should be able to: ● Build and maintain streaming and batch data pipelines. ● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts. ● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs. ● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products. ● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg. ● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports. ● Adhere and have practised Agile Methodology such as Scrum. ● Implement adhering to Master Data Management Best Practices and Principles. ● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling. It would be great if you had: ● 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. ● Good communication skills for Data and Analytics concepts and methodologies and how they are relevant to your stakeholders

Job Description

SIA has multiple positions for generative AI/deep learning experts to drive our AI and data science initiatives.

Key Responsibilities include:

• Member of the in-house AI Center-of-Excellence team that works on challenging problems in advanced AI (including areas on generative multimodal AI, autonomous agent, NLP, computer vision, recommender system), mathematical optimization, game theory, and experimental design.
• Research and develop advanced machine learning algorithms to meet complex product requirements. The scope includes defining hypotheses, executing necessary tests and experiments; evaluating, tuning and optimizing algorithms and methods; and having an eye towards cloud implementation ease, scalability, and robustness in a live customer facing production environment.
• Provide technical direction and guidance to a small and highly skilled team of junior and senior data scientists embedded in Kanban data squads. These squads deliver products/services in generative AI, data science and data analytics to stakeholders in a large number of business units. Serve as a go-to technical expert in your area of AI expertise.
• Work closely with business stakeholders to create impactful and intelligent features/products. Collaborate with other team members including data scientists, data engineers and data strategists. Strategic ownership of all critical end-to-end AI processes.
• Administer/maintain performant cloud and on-premises GPU compute resources that train large ML models and provide inference API microservices in production.

Requirements

• PhD degree related to computer science, machine learning or other AI disciplines is required (consideration will be given to exceptional candidates without advanced degrees).
• Demonstrated intellectual firepower as a rapid problem-solver and tech lead.
• Advanced programming skills in Python. Strong technical skills in algorithm design/analysis, data structure and SQL. At least intermediate-level mastery of functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java or C# is a must.
• Hands-on proficiency in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• 3 or more years of relevant industry experience as a hands-on technical expert in shallow and deep machine learning, with additional specializations in most of the following areas:

1. Experience in the use of recent proprietary/open-source LLM APIs (such as OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, or Meta LLaMA 2); software development skills involving multi-agents and prompt engineering using LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Highly conversant with GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Demonstrated ability in rapidly adapting, training and deploying state-of-the-art AI models or services in production based on the latest published research papers and open-source code.
4. Familiarity of Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Significant hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Excellent mentoring, interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Job Description

The senior data engineer is a senior software developer with strong software engineering skills who is responsible for building custom open-source-based data ingestion and MLOps platforms. He/she has deep appreciation of the complexity of the data engineering process, such as the challenges of data ingestion involving large or near-real-time datasets, the maintenance of high data quality, and the importance of automation for increasing pipeline robustness and reducing the need for human intervention.

Key Responsibilities include:

• Be an effective distributed-system implementer in the following core activities:Design and develop data engineering services and their ecosystem using distributed databases (relational, columnar, graph, in-memory); orchestration (Apache Airflow); and distributed stream/batch data processing (Kafka, Kinesis, Spark).
  Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.
  Design data models for mission-critical, high-volume, near-real-time/batch data; build idempotent/atomic production data pipelines to make data ingestion more fault tolerant.
  Design and develop intuitive, highly automated, self-service data platform functions for business users.
• Explore, evaluate and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements

• BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.
• 3+ years of relevant industry experience in some or most of the following technical areas:Advanced programming skills in Python. Conversant with data structures and algorithm design.
  Experience in building data pipelines (including data collection, warehousing, processing, analysis, monitoring, and governance) using open-source data ingestion platforms.
  Intermediate-level knowledge and experience with AWS cloud components and best practices. Good understanding in deploying data stores such as S3, RedShift, Elasticache, PostgreSQL, and ClickHouse.
  Prior experience in modern software development is required (such as web frontend UI, backend API microservices, understanding of CI/CD and Scrum/Kanban agile development). Strong grasp on object-oriented or functional programming (using e.g. Python, Java, Scala, or C#).

Job Description

The Data Analytics Engineer is responsible for designing and developing robust, scalable data pipelines, data marts and business intelligence dashboards to be used across Singapore Airlines Group.

Key Responsibilities include:

• Understand business processes, applications and how data is created, stored and gathered in Singapore Airlines.
• Use big data tools and platforms to create and maintain data pipelines, making sure pipelines are robust, scalable, and reliable. Troubleshoot and rectify issues with data pipelines as necessary.
• Build expertise and domain knowledge on the data. Establish and own the data quality and SLA for various data flows.
• Explore, analyse, and aggregate various types of data to provide business insights to the data team stakeholders. Create compelling story and visualisation to convey these insights. Ask right and inquisitive questions of the data to deliver analytics solution to the business.
• Design, build and manage data marts to satisfy our growing data needs.
• Any other ad-hoc duties.
• This is an individual contributor role.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS degree in Computer Science or a related technical field. MS or PhD degree is a plus.
• Python development experience in production environment is required.
• More than 2 years of SQL (such as PostgreSQL, Oracle, AWS Redshift, GCP Big Query, or Hive) experience is required. NoSQL experience is a plus.
• More than 2 years working with Linux OS. Knowledge of networks and cybersecurity is a plus.
• Experience working with infrastructure-as-code systems like AWS CloudFormation. DevOps, AWS and GCP experience is a plus.
• Experience in working with a commercial ETL tools like Ab Initio and Talend would be a plus.
• Experience in ETL pipeline design, implementation and maintenance.
• Experience working with visualization tools (specifically Tableau would be preferred).
• Ability in analysing data to identify deliverables, gaps and inconsistencies.
• Ability in managing and communicating data mart plans to internal customers.

Summary:

⦿ Basic + Allowances + Commission + Incentive + Bonus (High Gross Salary)

⦿ 5 days, Office Hours

⦿ Company with great career prospect

Jobscope:

• Identify new opportunities, develop new businesses and maintain existing customers

• Attend to and follow up on sales enquiries

• Provide consultation and recommendations to customers based on their needs and requirements

• Develop and maintain strong customer relationships

• Achieve monthly sales target

• Other duties as assigned

Requirements:

• Candidates with Financial/Customer Service or sales related experiences are welcome to apply

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | See Yew Jin (R22103957)

Role Overview

Join our dynamic team as a Business Consultant specializing in B2B sales. You will focus on a comprehensive range of marketing services, including SEO, SEM, Paid Social (Facebook, Instagram, LinkedIn, WeChat), Content Creation, Website Development, and Government Grant Solutions. This role demands a proactive sales approach, involving cold calling and other strategic activities to drive business growth.

Location: 1 Grange Rd, Level 7 Orchard Building, Singapore 239693
Hours: Monday to Friday, 9am to 6pm
Salary: Basic + Commission + Incentives
Benefits: Performance Bonus, Annual Flexi-Cash Benefits

Key Responsibilities

Prospecting and Cold Calling:

• Identify and reach out to potential clients via cold calling and lead generation.
• Educate prospects on our diverse services and solutions, emphasizing benefits and value propositions.

Appointment Setting:

• Arrange and coordinate appointments with prospects, ensuring smooth logistics.

Client Relationship Management:

• Build and maintain relationships with new clients, understanding their needs and proposing tailored solutions.
• Cross-sell and upsell additional services to meet evolving client requirements.

Market and Competitor Analysis:

• Stay updated on industry trends, market developments, and competitor activities.
• Leverage insights to identify growth opportunities.

Key Requirements

• Proven track record in B2B sales; experience in key account management is preferred.
• Strong negotiation and communication skills, both written and verbal.
• Proficiency in CRM software and MS Office Suite.
• Experience in B2B sales within marketing services is advantageous for the Business Manager level.

Interested and have no experience? Fret not!

Click APPLY NOW or text +65 8062 3502 for a confidential discussion with our HR team.

We look forward to having you on our team!

Our client is reputed organization in the media firm

Responsibilities:

· Support the business’s goal of democratisation of data and data products.

· Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting.

· Collaborate in partnership with diverse teams across SPH 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 SPH 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:

You should be able to:

● Build and maintain streaming and batch data pipelines.

● Build and maintain transactional and analytical data schemas for data lake, datawarehouse and data marts.

● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs.

● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products.

● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg.

● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports.

● Adhere and have practised Agile Methodology such as Scrum.

● Implement adhering to Master Data Management Best Practices and Principles.

● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling.

It would be great if you had:

● 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.

● Good communication skills for Data and Analytics concepts and methodologies andhow they are relevant to your stakeholders

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

PERSOLKELLY Singapore Pte Ltd • EA License No. 01C4394 • EA Registration No. R1551626 (SUJA THERESA FRANCIS)

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

**********************************

Responsibilities

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

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

● Collaborate in partnership with diverse teams across 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.

Required Skill

● Build and maintain streaming and batch data pipelines.

● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts.

● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs.

● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products.

● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg.

● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports.

● Adhere and have practised Agile Methodology such as Scrum.

● Implement adhering to Master Data Management Best Practices and Principles.

● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling.

COMPANY DESCRIPTION

A leading general insurer with a local presence of over 100 years, MSIG Singapore offers an extensive range of insurance solutions for commercial and personal risk protection, enabling the security and safety of individuals and businesses. MSIG Singapore holds an A+/Stable financial rating by Standard & Poor's.

A testament to its growing strength and influence, MSIG Singapore has garnered numerous awards for delivering digitally innovative and customer-centric solutions. In 2023, 2022 and 2020, MSIG Singapore was awarded Insurance Asia Awards' Claims Initiative of the Year.

MSIG is a subsidiary of Mitsui Sumitomo Insurance Co., Ltd, and a member of the MS&AD Insurance Group one of the largest general insurance groups in the world with presence in 50 countries and regions globally, 18 of which are in Asia Pacific including all ASEAN markets as well as in Australia, New Zealand, China, Hong Kong, Taiwan, South Korea and India. Headquartered in Japan, MS&AD is amongst the top non-life insurance groups in the world based on gross revenue.

RESPONSIBILITIES

• Assist Senior Vice President, Technical Services to provide actuarial services and analysis to the underwriting, claims, business development, reinsurance and finance managers.
• Introduce best practice actuarial science to the business process including premium rating
• Undertake any other duties as may be assigned.

• Preferably with Actuarial Science, Mathematics or Statistics degree and currently pursuing professional qualifications from the Casualty Actuarial Society/Institute of Actuaries/Institute of Actuaries of Australia
• Should ideally be one to two years from obtaining the professional qualification above

• Knowledge and experience in general insurance actuarial practice especially in areas of premium rating, portfolio monitoring, reserving, risk/financial/capital modelling
• Statistical knowledge
• Good understanding of data, actuarial software and programming languages including analytics and visualisation tools
• Preferably with experience in a consultancy firm or/and general insurance company
• Ideally a minimum of 2 years experience in a general insurance actuarial practice
• Business oriented, able to suggest practical recommendations
• Some general insurance business knowledge

Working location: UE Bizhub West

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

JOB DESCRIPTION

· Develop comprehensive project plans, including timelines, resource allocation, and budget estimates

· Lead and manage project teams, ensuring clarity of roles, responsibilities, and expectations

· Monitor project progress and performance, tracking milestones, deliverables, and expenditures

· Facilitate regular project meetings to review progress, address issues, and ensure alignment with project goals

· Allocate and manage project resources, including personnel, equipment, and materials

· Address resource conflicts and optimize resource utilization across multiple projects

· Develop and manage project budgets, tracking expenditures and ensuring cost control

· Conduct project closure activities, including final reports, documentation, and post-project evaluations

· Communicate project objectives, status updates, and key milestones to stakeholders regularly, ensuring alignment and transparency throughout the project

JOB REQUIREMENTS

· Minimum Diploma and above

· Strong organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously

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

EA Reg. Number: R22109519

EA License Number: 22C1278

Working location: UE Bizhub West

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

JOB DESCRIPTION·

· Oversee daily operations, ensuring that processes run smoothly and efficiently

· Develop and implement standard operating procedures (SOPs) to enhance operational efficiency

· Ensure that resources are used effectively and within budget constraints

· Coordinate with other departments to ensure that operational needs are met

· Analyze existing operational processes and identify opportunities for improvement

· Implement process improvements to enhance productivity and reduce costs

· Utilize data and analytics to monitor the effectiveness of process changes

· Oversee and manage operational projects from initiation to completion

· Prepare regular reports on operational performance and present findings to senior management

· Conduct financial analysis to evaluate the cost-effectiveness of operations

JOB REQUIREMENTS

· Minimum Diploma and above

· Strong leadership and team management skills, with the ability to inspire and motivate teams to achieve goals and objectives

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

EA Reg. Number: R22109519

EA License Number: 22C1278

In this role, you can expect to:

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

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

● Collaborate in partnership with diverse teams across organization 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 organization 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.

You should be able to:

● Build and maintain streaming and batch data pipelines.

● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts.

● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs.

● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products.

● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg.

● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports.

● Adhere and have practised Agile Methodology such as Scrum.

● Implement adhering to Master Data Management Best Practices and Principles.

● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling.

It would be great if you had:

● 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.

● Good communication skills for Data and Analytics concepts and methodologies and how they are relevant to your stakeholders.

• Conduct R&D for exploration of new AI/ML use cases. Responsible for consolidating best practices.
• Develop, deploy and monitor model performance, including documentation and maintenance.
• Focus on Data Interpretability and AI ethics.
• Apply data mining techniques and statistical analysis to uncover insights from data.
• Translate business requirements into technical specifications and implementation.
• Presenting Data analysis/Model findings for stakeholders.
• Other adhoc duties as assigned

Experience:

• 6 to 8 Years of hands on experience in above listed technical skill-sets.
• At least 2 years of domain experience in Fintech will be seen as highly favorable.
• Python and relevant libraries
• Expertize in complex SQL.

Joy Yeow Zhi Qian

(CEI Registration No:R2096261)

Recruit Express Pte Ltd (EA Licence No: 99C4599)

Job description:

• Handling of HR-related administration duties
• Assist in HR operations
• Conducting face to face/ online interviews with prospective applicants
• Coordination of interviews
• Provide support to the HR executives and other related departments
• Handle any admin duties assigned by supervisor

Requirements

• Minimum Diploma / Degree in any field
• Candidates with no experience are welcomed to apply

All qualified applicants, please send in your resume to:

[email protected]

Jacqueline Fong Hsin Ting (R21103226)

Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C4599

Job Description:

• Assist in planning, managing, and implementing departmental operations.
• Maintain accurate and updated department policies, procedures, and work instructions.
• Collect statistics regularly for monitoring and reporting.
• Organize and support internal and external meetings for the department.
• Record meeting notes promptly and accurately.
• Prepare meeting materials like slides, handouts, and agendas.
• Provide timely support for department initiatives, projects, and pilots.
• Foster effective communication within and outside the department.
• Undertake additional projects as assigned by management.

Requirement:

• Min Diploma
• Entry Level , on job training provided

All qualified applicants, please send in your resume NOW to:
Whatsapp: https://wa.me/+6597430026
Email : [email protected]

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

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.

Job Description

Administrative Support:

• Managing schedules, appointments, and correspondence.
• Preparing documents, reports, and presentations.

Communication:

• Acting as a liaison between executives and stakeholders.
• Handling phone calls, emails, and inquiries.

Project Coordination:

• Assisting with project planning and logistics.
• Coordinating meetings and events.

Team Collaboration:

• Supporting other administrative staff.
• Undertaking special projects as assigned.

Requirement

• Nitec / Higher Nitec / Diploma with prior EA experience in healthcare
• Able to commence work in short period of Notice

All qualified applicants, please click “ APPLY NOW”

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Jobs Responsibilities

• Lead the execution of brand strategy and develop new initiatives to win market share and ranking
• Ensure successful new product launches and review the pillars supported by effective 360 plans (Public Relations, media, social media & digital, forecast, events and CRM, sell-out tracking and the product display in the points-of-sale)
• Conduct market trend analysis, monitor competitors’ activities and plan proactive actions.
• Ensure accuracy in forecasting of products and timely submission.
• Lead Marketing Agency to ensure marketing assets and plans are well prepared.
• Ensure all ATL & BTL collaterals, POSM, samples meant for the launch are well-prepared and delivered accordingly for maximum launch impact.
• Implement events and promotions with qualitative executions to maximize commercial returns.

Job Requirements

• Min. Degree
• Keen in product marketing
• On the job training will be provided

Application Procedures

Interested candidates, please email your resume to:
Attention: Lynn Mak Ling Ling (CEI No. R1986990)
[email protected]
Recruit Express Pte Ltd (EA No. 99C4599)

We regret that only shortlisted candidates will be notified.

Responsibility

• Provide production reporting and trending to internal stakeholders
• Prepare commentary and perform gap analysis on business performance to assist Management and Underwriters in monitoring the company's performance
• Conduct research on the industry and perform competitor’s analysis to identify business opportunities and increase the company's production
• Collect, collate and analyze a variety of portfolio related data, identify variances and trends, and highlight them to the relevant department
• Manage and support company-driven projects such as gathering of user requirements, process mapping, documentation, user acceptance testing, etc
• Oversee and monitor monthly progress of campaign simulations to ensure consistency in the reports to achieve campaign objectives
• Provide analysis on claims to support the Claims department and Senior Management in managing the bottom line
• Support the department in tasks related to company's compliance obligations and keep up to date on regulatory developments

Requirement

• Degree holder with 3 – 5 years of related experience
• Possess strong Excel and Access skills
• Good Knowledge in Tableau data analytic application is an advantage
• Possess Certificate in General Insurance and Certificate in Health Insurance would be an added advantage
• Strong interpersonal, data analytics and presentation skills
• Able to work effectively and under pressure
• Meticulous, result-oriented and self-driven
• Ability to work independently and as a team

Responsibilities

Operational Oversight:

• Manage daily hospital operations and streamline processes.
• Monitor performance metrics and implement improvements.

Patient Care:

• Maintain high standards of patient care and address concerns promptly.
• Implement initiatives to enhance patient satisfaction.

Staff Management:

• Supervise department managers and promote a positive work environment.
• Conduct performance evaluations and provide feedback.

Compliance and Safety:

• Ensure compliance with healthcare regulations and safety protocols.
• Conduct audits to maintain quality standards.

Financial Management:

• Monitor budgets and identify cost-saving opportunities.
• Prepare financial reports and presentations.
  

Requirements

• Min degree in any courses
• No need experience , Training Provided

All qualified applicants, please click “ APPLY NOW”

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599