Product Data Analyst

What we planned for this role

Your mission

The mission of this role is to act as the analytical partner for the Product team leading Workana's marketplace. This includes supporting both growth initiatives and the development of key modules within our ecosystem.

A strong data perspective will be essential to enable a continuous cycle of discovery, experimentation, validation, and iteration. This is not about answering questions — it's about helping the team ask better ones, faster.

This is not a support or traditional reporting role. It's a hands-on, impact-oriented role, focused on building solutions together with the product team.

Key Responsibilities

• Support product discovery with exploratory analyses and actionable hypotheses
• Define and track key product metrics (adoption, conversion, drop-off, engagement, etc.)
• Design, analyze, and interpret product experiments (A/B tests) to validate business hypotheses
• Identify behavioral patterns that help the team iterate or pivot quickly
• Build dashboards and interactive reports to enable self-service access to insights within the squad
• Collaborate with the Head of Product, PMs, POs, UX Designers, and Engineering Managers to prioritize initiatives based on data opportunities
  
  

Contribute to data-driven solutions for onboarding, segmentation, matching, pricing, and more.

What we expect from your mindset and way of working

This role calls for initiative, critical thinking, and openness to change. We're not looking for someone who just executes tasks — we're looking for someone who enjoys building in dynamic environments and working closely with others.

• High adaptability. Things move fast in product. You're comfortable navigating ambiguity, learning as you go, and adjusting course based on what the data reveals
• Builder mentality. You don't just point out problems — you bring ideas, test hypotheses, and help improve processes and solutions
• Collaborative spirit. You value autonomy, but you're also eager to share learnings, ask questions, and contribute to the team's collective growth
• Proactive mindset. Not everything will come with a clear brief. You take initiative, identify patterns, and create momentum from curiosity
• Human-first thinking. Data is a powerful tool, but decisions happen in real-world contexts. You balance analysis with empathy and good judgment
• Curiosity for new tools. You're open to experimenting with emerging technologies — especially AI — to accelerate learning, spark ideas, and expand how we discover value through data
  
  

What Success Looks Like

Product teams make faster, better decisions thanks to your input.

Hypotheses are validated with reliable data, and experiments are designed and interpreted with clarity.

You proactively uncover insights that influence strategy, prioritization, and user experience.

You promote a culture of data accessibility, enabling rather than bottlenecking decisions.

You're seen as a strategic partner within the squad — because your contributions drive real impact.

Requirements

Technical skills we're looking for

• Strong SQL skills for advanced self-service analysis (cohorts, window functions, CTEs, dynamic segmentation, etc.)
• Experience designing and analyzing A/B tests with statistical rigor
• Solid grasp of applied statistics: hypothesis testing, confidence intervals, significance thresholds
• Familiarity with data visualization tools (e.g., Power BI, Looker, Metabase)
• Bonus: experience using product analytics tools like Amplitude, Mixpanel, GA4
• Bonus: knowledge of Python or R for ad-hoc analysis or advanced data manipulation
  
  

Bonus: experience with AI tools that enhance analysis or decision-making.