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Business Data Analyst (Government Project)

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SGD 60 000 - 80 000
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Business Data Analyst (Government Project)
SCIENTEC CONSULTING PTE. LTD.
Singapura
Presencial
SGD 60.000 - 80.000
Tempo integral
Há 9 dias

Resumo da oferta

A leading consulting firm in Singapore seeks an experienced Business Analyst to provide advanced analytics supporting public health programmes. The successful candidate will identify user engagement trends, evaluate program effectiveness with statistical methods, and communicate actionable insights to stakeholders. This role requires a strong foundation in data analysis, experience with tools like SQL and Python, and the ability to present findings effectively.

Qualificações

  • Minimum 3 years of experience in business analytics or data analysis roles.
  • Strong foundation in statistical analysis techniques.
  • Strong presentation and storytelling skills for complex insights.

Responsabilidades

  • Analyse user engagement patterns and behaviour change.
  • Evaluate programme effectiveness using statistical techniques.
  • Translate complex analytical findings into clear recommendations.
  • Develop dashboards and visualisations for insights.

Conhecimentos

Statistical analysis
Data interpretation
Strong presentation skills
Problem-solving
Communication

Ferramentas

SQL
Python
Power BI
MS Excel
Descrição da oferta de emprego
Overview

We are looking for an experienced Business Analyst to perform advanced analytics on large-scale public health programmes. In this role, you will generate actionable insights that inform programme strategy, improve user engagement, and drive positive behaviour change at a population level. The position combines strong statistical expertise with business and domain understanding to support evidence-based decision-making.

  • Working Hours: Mon-Fri
  • Working Location: Outram Park
  • Job Type: Contract
  • Salary Package: UP to $9,000 (basic) + AWS
What You’ll Do
  • Analyse user engagement patterns and behaviour change across digital health platforms to identify key drivers of participation and sustained engagement
  • Evaluate programme effectiveness using statistical techniques such as hypothesis testing, regression analysis, difference-in-differences, and clustering
  • Conduct sub-group and segmentation analyses to identify target audiences and underserved segments, integrating data from multiple sources where relevant
  • Translate complex analytical findings into clear, actionable recommendations for programme design, marketing strategies, and policy decisions
  • Develop compelling dashboards, visualisations, and presentations to communicate insights to both technical and non-technical stakeholders
Impact of Your Work

Your insights will directly support:

  • Expanding programme reach to underserved population segments
  • Improving participant retention and engagement through data-driven personalisation
  • Driving measurable improvements in lifestyle and behavioural outcomes
  • Optimising programme mechanics and incentive structures
Who You’ll Work With
  • Data Science & Analytics teams
  • Business and policy stakeholders
  • Cross-functional technical professionals
Qualifications & Skills
  • Experience: Minimum 3 years of experience in business analytics or data analysis roles
  • Analytics: Strong foundation in statistical analysis and data interpretation, including hypothesis testing, regression, and clustering
  • Technical Skills: Proficiency in SQL; experience with Python, Power BI, and MS Excel
  • Business Acumen: Ability to connect data insights to business objectives and translate analysis into strategic recommendations
  • Communication: Strong presentation and storytelling skills; able to clearly convey complex insights to diverse stakeholders
  • Domain Knowledge (Advantage): Experience in health, fitness, behavioural analytics, or digital consumer platforms; familiarity with user engagement metrics, programme evaluation, and experimental design

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

Contact you about potential opportunities.

Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Elane Yap Theng Yu- R1989397

ScienTec Consulting Pte Ltd - 11C5781

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