Data Analyst

2 часов назад

Украина, Украина wizer Полный рабочий день 30 000 ₴ - 60 000 ₴ в год


About the Role

We're looking for an experienced Data Analyst who will build and maintain current high-quality of Power BI reports, deliver deep product performance analysis (usage, funnels, retention, behavior) and build company-wide KPIs. You'll connect product performance analysis with marketing and revenue data, standardize metric definitions, and publish trusted analytics snapshots that leadership and teams can rely on.

What You'll Do

  • Design and maintain Power BI dashboards (executive scorecards, finance reports, product usage, funnel/retention, cohort views); ensure performance and data freshness.

  • Product analytics & attribution: Analyze feature adoption, activation, engagement, and retention using Google Analytics (or similar) + product event data; connect to growth and revenue outcomes.

  • Build company KPIs: collaborate with the team to define, document, and maintain a single source of truth for company-wide and departmental KPIs (Product, Growth, Sales, CS).

  • Funnels & experiments: Build/maintain conversion funnels and cohorts; partner with Product to design A/B tests, define success metrics, and analyze them over time.

  • Analytics snapshots: Establish scheduled snapshots (daily/weekly/monthly) for key facts (e.g., active users, adoption, click rates) to support stable trending and reproducible reporting.

  • Data quality & governance: Define metric logic, implement validation checks, and document lineage to keep numbers consistent across the org.

  • Partner with teams: Translate questions from Product, Marketing, and Growth into clear analyses and recommendations; enable self-serve insights where appropriate.

  • Ad hoc analysis: Investigate anomalies, identify drivers, and present concise, actionable narratives to stakeholders.

Required Skills & Qualifications

  • 1+ years in data analysis/BI, preferably in product-led or SaaS environments.

  • Strong SQL (PostgreSQL and BigQuery) and comfort working across multiple sources.

  • Hands-on Power BI experience (data modeling, DAX measures, report performance tuning).

  • Proficiency with Google Analytics / GA4 (or similar tools such as Mixpanel/Amplitude), events/logs management, and attribution concepts.

  • Solid grasp of product metrics (activation, engagement, retention, DAU/WAU/MAU, cohort analysis), funnel analysis, and recommendation framing.

  • Working knowledge of statistics (sampling, significance testing, confidence intervals) and practical application to A/B testing.

  • Ability to structure complex data, reconcile definitions across teams, and communicate clearly in written and spoken English.

Nice to Have

  • Prior SaaS / B2B product analytics experience.

  • Experience with various web-analytics tools such as Hotjar, Google Tag Manager or others.

  • Exposure to data warehousing (e.g., Microsoft Fabric, Snowflake, BigQuery, Databricks).

  • Hands-on A/B test tooling and guardrails (power analysis, sequential testing considerations).

  • Basic understanding of privacy/compliance implications (GDPR/CCPA) for product analytics.

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