502 Analytics jobs in Singapore

Due to their current expansion plan, they are looking for a People Analytics & Compensation Specialist to join their team, in hopes of developing the current high performing team. They are located in the Central.

Responsibilities

• Analyze compensation data regularly to ensure competitive and equitable pay.
• Manage end-to-end payroll processing with accuracy, timeliness, and regulatory compliance.
• Maintain detailed payroll and compensation reports for regulatory and leadership needs.
• Act as the main contact for payroll and HRIS queries, ensuring excellent employee support.
• Oversee HR systems to maintain data integrity for payroll and employee records.

Requirements

• Strong knowledge of payroll systems, HRIS platforms, and/or compensation benchmarking tools.
• Proficient in data analysis and generating accurate reports with high attention to detail.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email:

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115141 (Tan Su Yee)

Due to their current expansion plan, they are looking for a People Analytics & Compensation Specialist to join their team, in hopes of developing the current high performing team. They are located in the Central.

Responsibilities

• Analyze compensation data regularly to ensure competitive and equitable pay.
• Manage end-to-end payroll processing with accuracy, timeliness, and regulatory compliance.
• Maintain detailed payroll and compensation reports for regulatory and leadership needs.
• Act as the main contact for payroll and HRIS queries, ensuring excellent employee support.
• Oversee HR systems to maintain data integrity for payroll and employee records.

Requirements

• Strong knowledge of payroll systems, HRIS platforms, and/or compensation benchmarking tools.
• Proficient in data analysis and generating accurate reports with high attention to detail.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email:

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115141 (Tan Su Yee)

Due to their current expansion plan, they are looking for a People Analytics & Compensation Specialist to join their team, in hopes of developing the current high performing team. They are located in the Central.

Responsibilities

• Analyze compensation data regularly to ensure competitive and equitable pay.
• Manage end-to-end payroll processing with accuracy, timeliness, and regulatory compliance.
• Maintain detailed payroll and compensation reports for regulatory and leadership needs.
• Act as the main contact for payroll and HRIS queries, ensuring excellent employee support.
• Oversee HR systems to maintain data integrity for payroll and employee records.

Requirements

• Strong knowledge of payroll systems, HRIS platforms, and/or compensation benchmarking tools.
• Proficient in data analysis and generating accurate reports with high attention to detail.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email:

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115141 (Tan Su Yee)

This is a specialist role for professionals who possess deep expertise in both advanced data analytics and large-scale data engineering within financial markets. The ideal candidate will bridge the gap between business strategy and technical implementation, delivering actionable insights and robust data infrastructure solutions that directly support investment decision-making.

1. Data Research & Analysis

o Conduct in-depth data research and analysis for Private Market Data, Public Market Data, and Financial Data to derive insights that support investment strategies.

o Work closely with investment teams to identify the right data sources and optimize workflows.

o Onboard Financial and Corporate data through the virtualization layer to enable user access for reporting purposes.

2. Data Strategy & Management

o Drive data strategy initiatives, ensuring seamless integration of private and public market data into investment processes.

o Implement and maintain data management frameworks, ensuring high-quality and well-structured data assets.

o Define and optimize data management processes, improving efficiency and reducing operational risks.

o Monitor data governance practices to maintain data integrity, security, and compliance.

3. Technical Implementation & Automation

o Develop and maintain SQL-based queries for data extraction, transformation, and analysis.

o Leverage Python for data processing, automation, and analytics.

o Utilize Denodo for data virtualization and enhancing accessibility to diverse data sources.

o Automate repetitive data tasks using Power Automate to improve efficiency and scalability.

o Manage and optimize DBeaver, Denodo, Toad, and MySQL for database queries and analysis.

o Design, develop, and manage scalable data pipelines using Azure Data Services (preferred) or Snowflake, integrating data from APIs, Web Scraping, SFTP, SharePoint, etc.

o Implement CI/CD pipelines, unit testing, and performance tuning to ensure high-quality data engineering solutions.

4. Business Intelligence & Visualization

o Design and develop interactive dashboards and reports using Power BI or Tableau, providing real-time insights to data teams and senior management.

o Optimize Excel workflows using macros and advanced formulas to support data-driven analysis.

o Partner with business partner to integrate AI-driven analytics leveraging Azure AI Services.

5. Agile & Cross-Functional Collaboration

o Work in an Agile environment (Scrum, Kanban) to manage data projects efficiently.

o Collaborate with research analysts, quantitative teams, and technology teams to enhance data capabilities.

o Drive end-to-end SDLC implementation for data solutions, ensuring best practices and performance optimization.

o Bridge technical engineering teams and business stakeholders, translating data engineering outputs into actionable insights.

· 8–10 years of combined experience in data analytics and data engineering, preferably in financial market data environments.

· Proven expertise in Azure Data Services (preferred), SQL, Python, Denodo, and data orchestration tools (Airflow, Control-M).

· Experience in building, optimizing, and automating large-scale data pipelines and data warehouses.

· Strong background in data research, data modeling, visualization, and governance within investment or financial services contexts.

· Exposure to private and public market data processes is highly desirable.

· Preferred certifications:

o Microsoft Certified: Fabric Data Engineer Associate

o Microsoft Certified: Azure AI Fundamentals

o Microsoft Certified: Power BI Data Analyst Associate

Preferred financial knowledge: CFA Level 1 (or equivalent understanding of investment concepts) is an added advantage.

Excellent communication and stakeholder management skills with a strong problem-solving mindset.

Please refer to U3's Privacy Notice for Job Applicants/Seekers at When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

We’re hiring an Analytics Engineer to join our data team, working primarily within a DOMO environment . This hybrid role is 60–70% analytics-focused and 30–40% data engineering , responsible for transforming raw data into trusted datasets and building insightful dashboards that drive decision-making across the business.

• Develop data models and dashboards in DOMO to support business analytics needs.

• Build and maintain ETL/ELT pipelines to ensure clean, scalable data flows.

• Collaborate with stakeholders to understand data requirements and deliver actionable insights.

• Ensure data quality, consistency, and documentation across systems.

• Promote best practices in data governance, version control, and model testing.

• 2–5 years of experience in analytics engineering, BI, or data roles.

• Strong SQL skills and experience with DOMO , dbt , and modern data warehouses (e.g., BigQuery, Snowflake).

• Familiarity with ETL/ELT tools and version control (e.g., Git).

• Strong business acumen, communication, and problem-solving skills.

Argyll Scott Asia is acting as an Employment Agency in relation to this vacancy.

Collect, clean, and analyse marketing data from various sources.

Evaluate campaign effectiveness and recommend optimizations.

Conduct customer and competitor analysis for insights.

Create and maintain marketing dashboards and reports.

Design and analyse A/B tests for marketing changes.

Map customer touchpoints to improve the experience.

Develop predictive models for marketing trends.

Stay updated on marketing analytics tools and trends.

Document analysis methodologies and findings.

Willingness to learn

Initiative-driven to get tasks done effectively and efficiently

Creative problem-solving skills

Eager and passionate to learn more about the industry and develop their understanding of different fields

Bold and willing to take initiative to think outside of the box to ideate

Good time management and organisational habits

Analytical skills

Creativity

Effective communication, organisational skills

Design skills would be a big plus

Previous internship experience in Data Analytics, Computer Science or other related fields is an advantage

Basic competency in PowerBI for data visualisation and reporting

Basic competency in one or more additional scripting or statistical programming languages (e.g. SQL, Python, Pandas, R, etc.) for data manipulation

A highly effective communicator with the ability to convey complicated analytical conclusions to technical and non-technical audiences

Local and International students are welcome to apply!

Working hours: 40 hours a week

• Drive Commercial Insights and forecasting activities for key Brands in SEA region including primary market research, secondary analytics, short and long-term product forecasts, and brand performance tracking.
• Address business issues and opportunities through relevant analytical approaches
• Provide an objective and rigorous point of view to sales forecasting and product performance while collaborating with relevant functions (commercial, medical, V&A, regulatory, etc)
• Drive brand specific performance management in JAPAC; ensure that marketing assumptions are appropriately linked to sales performance metrics and targets
• Execute primary market research projects, understanding the needs of the Global Brand team and affiliates and contributing to building the SEA insight generation plan required to meet those needs
• Work to translate the primary market research findings into actionable insights and be able to influence the team's decision making accordingly
• Manage several projects, and plan & manage works to ensure that quality expectations are met on individual projects
• Work closely with JAPAC BAI community across the region
• Manage the immediate and long-term impact of problems and changing circumstances

• Doctorate degree and 2 years of pharmaceutical market analysis and/or business planning experience OR
• Master's degree and 4 years of pharmaceutical market analysis and/or business planning experience OR
• Bachelor's degree and 6 years of pharmaceutical market analysis and/or business planning experience
• Fluency in English, both oral and written communications

• Demonstrated ability to translate business questions and needs into research plans and synthesize multiple data sources to answer business questions
• Demonstrated ability to deliver results, champions new innovative methodologies and tools
• Expertise in market analysis and forecasting (forecasting models, knowledge frameworks for qualitative competitive analysis, forecasting and analytical tools)
• Commercial Analysis , Business Planning experience and strong ecosystem knowledge in at least one of the key SEA market (Singapore, Hong Kong, Thailand)
• Deep understanding of the markets, brands and broader context (internal and external) of the business. Can translate market research insights and findings into realistic, impactful recommendations
• Demonstrated strategic / critical thinking abilities and eye for business
• Ability to dig deep and uncover the "why" beneath the observed behaviors (go beyond the rationale)
• Excellent oral and written presentation skills with ability to explain complex concepts clearly to a variety of audiences
• Ability to work collaboratively in a team-based environment
• Ability to balance multiple projects and workstreams simultaneously
• Proficient facilitation, self-driven, analytical thinking and problem-solving
• English proficiency (business level, including confident and competent presentation skills)
• Project management skills (planning, scheduling, implementation, and stabilization)
• Knowledge of industrial data

• Vast opportunities to learn and move up and across our global organization
• Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act
• Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits

• Lead the development and implementation of BI solutions using Qlik Sense and Databricks
• Guide and coach QlikSense developers in the region to ensure best practices and standards are followed
• Collaborate with regional stakeholders, including Regional Management, Area Management, and Super Users, to identify business requirements and develop analytics solutions to meet their needs
• Act as a Data Scientist for the region, supporting the business with Business Intelligence and analytics
• Develop and maintain a deep understanding of the shipping industry and Hapag-Lloyd's business operations to support with analytics solutions
• Provide technical guidance and expertise to the team on Qlik Sense and Databricks, including data modeling, data visualization, and data storytelling
• Ensure data quality, integrity, and security in all analytics solutions
• Develop and manage project plans, timelines, and resource allocation for analytics projects
• Collaborate with the Automation team to ensure alignment and integration of analytics solutions with automation initiatives
• Stay up-to-date with industry trends and emerging technologies in analytics and data science, and apply this knowledge to improve analytics solutions
• Utilize Databricks to develop and deploy big data analytics solutions, including data engineering, data processing, and data science workloads
• Leverage data analytics tools, such as SQL, Python, and data visualization tools, to extract insights and drive business decisions

• Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, or related field)
• At least 5 years of experience in analytics, data science, or a related field, with a focus on developing and implementing analytics solutions
• Proven experience with Qlik Sense, including data modeling, data visualization, and data storytelling
• Experience with big data technologies, such as Databricks.
• Strong SQL skills and experience with databases (e.g., MySQL, Oracle, SQL Server)
• Programming skills in Python, with experience with libraries such as Pandas, NumPy, and Matplotlib
• Experience with data visualization tools and techniques, including data storytelling and insights generation
• Strong understanding of data modeling, data warehousing, and ETL processes
• Experience in a leadership role, with a strong ability to manage and motivate a team
• Strong communication, interpersonal, and project management skills
• Ability to work in a fast-paced environment and prioritize multiple projects and tasks
• Understanding of the shipping industry or experience working in a related field (desirable)

• Experience with cloud-based data platforms, such as AWS or Azure
• Knowledge of machine learning algorithms and experience with machine learning libraries (e.g., scikit-learn, TensorFlow)
• Experience with data governance, data quality, and data security
• Certification in analytics or data science (e.g., Certified Data Scientist, Certified Analytics Professional)
• Familiarity with Alteryx or similar data preparation and analytics tools

Key Responsibilities:

· Develop and improve automated workflows using tools

· Identify opportunities for automation and enhance system performance

· Work with various teams to ensure automation solutions are integrated smoothly

· Act as the first point of contact for HR system-related issues

· Liaise between HR operations and the central team

· Participate in system improvement initiatives and related task groups

· Collect and analyse HR data from various sources

· Prepare regular and ad-hoc reports for decision-making (e.g., headcount, attrition, recruitment, budget)

Requirements:

· Degree in Business Analytics, Information Systems, or related fields

· Proficient in Microsoft Excel and other MS Office tools

· Detail-oriented, proactive, and adaptable

· Strong communication skills

· Able to work both independently and as part of a team

If you are interested in any of the positions, do kindly drop your most updated resume to

Kailey Lee Jia Yueh

EA Personnel No: R24126040

Recruit Express Pte Ltd (Healthcare & Lifesciences Division)

EA License: 99C4599