Rec Hub + Aviv Group

Rec Hub is partnering exclusively with Aviv Group — one of Europe's leading digital real estate platforms — to hire a Senior Product Analyst (Experimentation) based in Bucharest.

Aviv Group operates market-leading classified real estate marketplace brands across Europe, including ImmobilienScout24, SeLoger, MeilleursAgents, and Immoweb. These are platforms that millions of people rely on to make some of the most significant decisions of their lives — finding a home, moving cities, starting new chapters.

This is not a dashboard role. Aviv's self-service tooling handles routine KPI reporting. This team exists to answer the harder question: "I'm making this change to the product — what will it actually bring to the business?" Nobody knows the answer yet. That's the job.

You will design and run experiments, apply rigorous statistical methods, and give confident estimates when the data is incomplete. You will sit at the intersection of product, data science, and decision-making — and your work will directly influence which product changes go live across platforms used by millions of users across Europe.

The Team & Context

You will join a growing product analytics function that sits in the middle of Aviv's data competency spectrum — between traditional reporting and applied data science. The team works across both B2B and B2C product surfaces, always ultimately testing on consumers in a two-sided classified marketplace.

The tracking infrastructure is actively being built out — this is a growing function with real ownership, not a legacy team maintaining old processes. You will have genuine influence over how experimentation is done at Aviv.

You will be expected to operate autonomously, receiving a brief and independently determining the right analytical approach without hand-holding.

Tasks

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• 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

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• Hands-on experience designing A/B tests from scratch — including sample size calculation, power analysis, significance thresholds, and choice of test type. Not just platform configuration.
  
• Deep working knowledge of statistical methods and experimental design. You know how it works, not just how to run it.
  
• 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. Senior candidates will have used at least some of these in practice.
  
• 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:

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• Background in eCommerce, online marketplaces, two-sided platforms, classifieds, CRO, or growth analytics.
  

Benefits

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• 25 days annual leave (22 standard days plus 3 personal days)
  
• 10% performance bonus
  
• Market-leading annual salary
  
• Additional benefits are being added
  

Why AVIV

AVIV Group builds and operates Europe’s largest online real estate marketplaces. This is an opportunity to work on high-traffic products at genuine scale, with strong engineering ownership.

Equal opportunities

AVIV is an equal opportunities employer. If you need reasonable adjustments at any point in the process or want to discuss flexible working requirements, please let us know.

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On average, our clients see a 60% reduction in time-to-hire, helping them scale faster without compromising on quality. With zero lock-in risk and complete flexibility on just 30 days’ notice, we’re the recruitment partner built for how modern businesses grow.