Job Category

Product Analytics / Data Analytics / Growth Analytics / Decision Science / Business Intelligence

Location

Hong Kong

Salary

Negotiable, depending on the candidate’s product analytics experience, technical capabilities, and overall suitability

Experience Required

3~5+ years

Education

Bachelor’s degree or above; a Master’s degree is preferred

Industry Exposure

Digital Products / Fintech / Gaming / Digital Entertainment / Marketplaces / Subscription Services / Consumer Applications

Position Overview

We are looking for an experienced Senior Product Analyst with strong analytical capabilities and a product-focused mindset.

In this role, you will use product data, customer insights, and structured experimentation to support product decisions. You will define and monitor product performance, analyse user behaviour, identify opportunities across the customer journey, and translate complex data into clear and actionable recommendations.

Working closely with Product Managers and cross-functional stakeholders, you will support product discovery, roadmap prioritisation, feature design, launch readiness, and post-launch evaluation. Your insights will directly influence product strategy, user experience, engagement, conversion, and retention.

Key Responsibilities

1. Define, develop, and maintain a comprehensive product measurement framework, including clear KPI definitions across:
• Acquisition
• Activation
• Engagement
• Conversion
• Retention
• Transactions
• Feature adoption
2. Partner with Product Managers to define success metrics and analytical requirements for roadmap initiatives, new features, and product enhancements.
3. Analyse user journeys, conversion funnels, cohorts, feature usage, and customer segments to identify friction points, behavioural patterns, and product opportunities.
4. Provide analytical support throughout the product development lifecycle, including product discovery, prioritisation, launch readiness, and post-launch evaluation.
5. Build and maintain dashboards, automated alerts, and self-service reporting tools that provide product teams and senior management with a consistent view of product performance.
6. Design, monitor, and evaluate A/B tests and structured experiments.
7. Quantify product impact, interpret experiment results, and recommend practical next steps based on analytical findings.
8. Develop analytical models where relevant, including:
• Customer lifetime value
• Churn propensity
• Conversion pathways
• Customer segmentation
• Product usage forecasting
9. Use SQL, Excel, and Power BI to extract, process, analyse, and visualise product data.
10. Translate complex analysis into concise and actionable insights that influence product strategy, roadmap priorities, feature design, and launch decisions.
11. Maintain strong metric governance, analytical documentation, and data-quality standards across product reporting.
12. Work with product, engineering, marketing, operations, and leadership teams to ensure analytical findings are understood and incorporated into business decisions.

Requirements

1. Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related discipline.
2. A Master’s degree in a relevant field will be an advantage.
3. At least 5 years of experience in product analytics, decision science, growth analytics, or data analysis for digital products.
4. Strong SQL skills, with the ability to independently extract, clean, validate, and analyse complex datasets.
5. Proficiency in Excel and Power BI, or equivalent business intelligence and data-visualisation tools.
6. Experience with product analytics platforms such as Mixpanel, Amplitude, GA4, or similar tools.
7. Strong understanding of digital product development, roadmap prioritisation, feature measurement, experimentation, and post-launch evaluation.
8. Solid experience in funnel analysis, cohort analysis, retention analysis, customer segmentation, feature adoption, and product engagement measurement.
9. Experience designing and evaluating A/B tests or other structured product experiments.
10. Ability to translate ambiguous product questions into structured analytical approaches, clear conclusions, and practical recommendations.
11. Strong product sense and commercial awareness, with the ability to identify product challenges and growth opportunities through data.
12. Self-driven, detail-oriented, and capable of independently managing analytical projects and priorities.
13. Strong written and spoken English communication skills, with the ability to present findings clearly to product teams and senior stakeholders.
14. Full and valid Australian working rights are required.

Preferred Qualifications

1. Experience using Python or R for advanced analytics, automation, or light predictive modelling.
2. Experience in gaming, fintech, digital entertainment, marketplaces, subscription services, or other consumer-facing applications.
3. Experience working with event-based product data, experimentation platforms, or behavioural analytics tools.
4. Exposure to multi-region, high-growth, regulated, or transaction-intensive digital products.
5. Experience developing customer lifetime value, churn prediction, customer segmentation, conversion, or usage-forecasting models.
6. Proven experience building product measurement frameworks, dashboards, and metric-governance processes.

Core Competencies

• Product measurement and KPI framework development
• User journey and funnel analysis
• Cohort, retention, and customer segmentation analysis
• Product experimentation and impact evaluation
• Product strategy and roadmap decision support
• Data visualisation and executive-level reporting
• Metric governance and data-quality management
• Cross-functional stakeholder communication

Ideal Candidate Profile

This opportunity is suitable for candidates currently working in positions such as:

Senior Product Analyst, Product Data Analyst, Product Insights Analyst, Growth Analyst, Digital Analyst, Decision Scientist, Customer Analytics Analyst, or Senior Data Analyst.

Candidates who want to play a more influential role in product strategy, experimentation, and data-driven roadmap decisions are encouraged to apply.

Please contact WhatsApp: +852 95526914 or email tommy.huang@manpowergrc.hk for application