Hybrid Senior Product Analyst – A/B Testing, Experimentation

at the rec hub.

• Job title: Senior Product Analyst – A/B Testing, Experimentation
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: Numpy, Pandas, Python, SQL
• Location requirements: Hybrid, Belgrade, Serbia

About the role

• Senior Product Analyst designing and running A/B tests for Aviv Group’s real estate platforms. Influencing product changes through rigorous statistical analysis and experimentation.

Responsibilities

• Design and run A/B tests, sequential tests, and other experimental frameworks from first principles — not just platform configuration.
• Apply statistical methods including causal inference, Difference-in-Differences, propensity score matching, and regression discontinuity to measure the true impact of product changes.
• Make confident, well-reasoned recommendations when data is ambiguous or experiments are inconclusive — this role requires decision-making under uncertainty, not just analysis.
• Partner with product managers, engineers, and designers to define hypotheses, success metrics, and data requirements before experiments begin.
• Determine when not to run an experiment — understanding the limitations of your methods is as important as knowing how to apply them.
• Build internal models and analytical frameworks to answer product questions that do not yet have data behind them.
• Communicate complex statistical findings clearly to both technical and non-technical stakeholders, including making the case for go/no-go product decisions.
• Contribute to raising the bar for how experimentation is done across the team.

Requirements

• Hands-on experience designing A/B tests from scratch — including sample size calculation, power analysis, significance thresholds, and choice of test type.
• Deep working knowledge of statistical methods and experimental design.
• Experience with sequential testing and an understanding of when and why to use it over standard A/B testing.
• Familiarity with semi-experimental and quasi-experimental methods — diff-in-diff, propensity score matching, regression discontinuity, or synthetic control.
• Strong Python skills for data analysis (pandas, NumPy, SciPy, statsmodels).
• Strong SQL for querying and transforming large datasets.
• Experience working in a product or consumer-facing business with a user base large enough to run statistically meaningful experiments.
• Comfort making recommendations under uncertainty — you give a directional answer with stated assumptions, not a request for more time.
• The ability to work fully autonomously. You receive a brief and determine the right methodology independently.
• Beneficial: Background in eCommerce, online marketplaces, two-sided platforms, classifieds, CRO, or growth analytics.

Benefits

• 20 days annual leave, plus Public holidays, plus company days off
• 10% performance bonus
• Market-leading annual salary
• Additional benefits are being added