Business Analyst - A26047 at Activate Interactive Pte Ltd

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

03 May, 26

Salary

0.0

Posted On

02 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Analysis, Data Analysis, Hypothesis Testing, Regression Analysis, Clustering Methods, SQL, Python, Power BI, MS Excel, Big Data, Wearable Devices, Programme Evaluation, User Engagement Metrics, Behavioural Analytics, Data-Driven Personalisation

Industry

IT Services and IT Consulting

Description

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. What will you do? Analyse user engagement patterns and behaviour change across H365 features (Activity Goals, Health & Wellness Challenges) to identify drivers of participation and sustained engagement, leveraging big data from digital apps and wearable devices. Evaluate programme effectiveness by applying statistical techniques including hypothesis testing, regression analysis, differencein-difference analysis, and clustering methods to assess impact on lifestyle behaviours and health outcomes. Conduct comprehensive sub-group analysis to identify target audiences and under-served segments, integrating datasets from multiple sources (including SportSG data where relevant) to uncover cross-agency insights and synergies. Translate complex analytical findings into clear, actionable recommendations for programme design, marketing strategies and policy decisions, developing compelling visualisations and presentations to communicate insights effectively to diverse stakeholders. Your analytical outputs will directly support: Expanding HealthierSG and H365 programme reach to underserved segments Improving participants’ retention and engagement through data-driven personalisation Driving measurable improvements in lifestyle behaviours Optimising programme mechanics and incentive structures What are we looking for? Professional qualifications: Bachelor’s / Master’s degree in Data Science, Statistics, Public Health or related quantitative field from recognised university Minimally 3 years of experience in business analytics (i.e. statistical analysis, data analysis, data-driven insights generation and translating findings into strategic recommendations) Professional certifications in business analytics / data science from accredited professional bodies coupled with a few years of related working experience for graduates from other disciplines, are also acceptable for the position Working experience: Minimally 3 years of experience in business analytics or data analysis roles Analytical expertise: Strong foundation in statistical analysis and data interpretation; experience with techniques such as hypothesis testing, regression analysis and clustering methods echnical proficiency: Proficient in SQL for data extraction and manipulation; experience with analytical tools (including Python, Power BI, MS Excel) Domain knowledge is a plus: Experience in health, fitness or behavioural analytics; particularly with digital health platforms, fitness apps, or health programmes; familiarity with user engagement metrics, programme evaluation and experimental design; experience working with large-scale consumer behaviour or health datasets What do we offer in return? Fun working environment Employee Wellness Program To work in Singapore Government Agencies projects We provide structured development framework and growth opportunities. (We are a “SHRI 2025 Gold winner” in “Learning & Development; Coaching & Mentoring”) Why you'll love working with us? If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. We believe your success is our success. 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, gender, 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 (https://www.activate.sg/privacy-policy) 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.

Responsibilities

The role involves analyzing user engagement patterns across health features using big data from digital apps and wearables to identify drivers of participation. The analyst will also evaluate programme effectiveness using statistical techniques and translate complex findings into actionable recommendations for programme design and strategy.