Job Description As a Product Analyst, you will go beyond the numbers—defining, analyzing, and translating data into actionable insights about our business, users, and product features. You’ll also design and analyze both randomized and non-randomized experiments to optimize performance.
You’ll work closely with , and stakeholders from other business units to drive key product decisions and shape the product strategy and roadmap.
Key Responsibilities
- Conduct quantitative research to drive product recommendations, including cohort analysis, user personas, behavioral segmentation, forecasting, and impact analysis
- Design and analyse randomised and non-randomised experiments to optimise product performance and understand user behaviour
- Collaborate with cross-functional stakeholders to identify business needs and execute end-to-end analytical projects.
- Deliver clear, effective presentations of insights to stakeholders at all levels, using visual representations of data.
- Develop and automate reports; build and refine dashboards to provide scalable insights for multiple stakeholders.
- Analyze our strategic position against competitors and provide insights that drive value and support our vision.
- Define key metrics, analyze usage patterns, and solve challenges that hinder progress toward objectives and key results (OKRs).
- Lead independent research and develop new analytics methods during dedicated weekly project time.
Requirements Requirements:
- 3+ years as a product analyst or business analyst — Must
- BA graduate in Statistics/ Mathematics/ Computer Science/ Industrial Engineering/ Economics
- Excellent knowledge of SQL — Must
- Experience with Python or R — Must
- Knowledge of statistics - Must
- Experience and deep understanding of AB tests and the maths behind it — Must
- Experience with Mixpanel or Amplitude - Nice to have
- Experience working with BI-tools
- Strong data visualisation skills — ability to effectively communicate performance and business impact to the broader business
- Ability to ask the right questions and use both quantitative and qualitative metrics to answer them
- Experience in translating analysis results into product recommendations and business questions into an analysis framework
- Sharp communicator and a confident presenter
- Experience with B2C mobile apps, Marketplaces, SaaS Platforms, and B2B products — advantage
- English proficiency — Must
- Knowledge of Econometrics or Machine Learning - an advantage