Product Analyst
D
DocplannerHealthcare SaaS
Within PolandFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 5+ years of relevant experience in analytics, working with business KPIs and metrics, of which 2+ working closely with product managers and user research teams.
- Required Skills
- PythonSQLMicrosoft Power BIGoogle AnalyticsTableauA/B testingdbt
Requirements
- 5+ years of relevant experience in analytics
- 2+ years working closely with product managers and user research teams
- Proficiency in SQL
- Experience with DBT
- Experience with data visualization tools (Tableau, PowerBI or similar)
- Experience with event-tracking tools (Google Analytics, Amplitude or similar)
- Experience with Python and its ecosystem of Data Science libraries
- Great communication skills and stakeholder management
- Fluent in manipulating, transforming, and reshaping data from multiple data sources
- Doing root-cause analysis, applying statistical concepts like regressions, and proving correlations and causation
- Contributing to data warehouses, creating aggregated data sets, general understanding of data pipelines and flows
- Experience designing, implementing and measuring A/B Tests and interpreting the results
- Experience enabling others by training stakeholders and helping teams become more data-literate and autonomous
- Excellent understanding of statistics
- Familiarity with complex Product organizations in the SaaS market
Responsibilities
- Own the metrics and analytical direction for your product area
- Influence strategy and roadmap priorities with Product Directors
- Help product areas to strategically build the product
- Bring ideas for new growth opportunities based on expertise
- Estimate the potential impact of ideas and guide strategy through metric frameworks and insights
- Work with higher management, business stakeholders and researchers to create and validate hypotheses
- Create and maintain dashboards, analysis and forecasts related to main metrics
- Manipulate and transform large data-sets to bring new insights and perform root-cause analysis
- Collaborate with the Product team to test new features and validate hypotheses through experimentation and AB Testing
- Perform segmentation analysis to understand customers and their main drivers
- Work closely with Data Engineering to maintain and improve data-sources
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