Full-Time Senior Product Analyst
Docplanner is hiring a remote Full-Time Senior Product Analyst. The career level for this job opening is Experienced and is accepting Warsaw, Poland based applicants remotely. Read complete job description before applying.
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As a Senior Product Analyst at Docplanner, you will generate insights for product decision-making and help product teams achieve their goals by leveraging data. You will own the team's metrics and work closely with stakeholders to generate and test hypotheses.
Key responsibilities include:
- Create and maintain dashboards, analyses, and forecasts related to team metrics.
- Work with management, business stakeholders, and researchers to create and validate hypotheses.
- Manipulate and transform large data sets to bring new insights and perform root-cause analysis.
- Communicate and present findings, insights, and recommendations to stakeholders.
- Help shape product strategy with data-driven insights, defining main metrics and customer journeys.
- Work with Data Engineering to maintain and improve data sources.
- Ensure visibility of customer interactions by defining specs for software instrumentation.
- Analyze funnels and Conversion rates, and validate hypotheses by taking the lead on experiments and A/B Tests.
Skills and Experiences:
- 5+ years of relevant experience in analytics, working with business KPIs and metrics.
- 2+ years working closely with product managers and user research teams.
- Fluency in SQL (essential).
- Experience with data visualization tools.
- Familiar with event-tracking tools.
- Familiar with Python and its ecosystem of Data Science libraries.
- Experience working with data warehouses (Redshift, Bigquery etc.).
- Great communication skills and stakeholder management.
- Fluent in manipulating, transforming, and reshaping data from multiple data sources.
- Doing root-cause analysis, applying statistical concepts.
- Contributing to data warehouses, creating aggregated data sets.
- Experience running A/B Tests and interpreting the results.
Bonus points:
- Git and version control (GitHub).
- Experience with building data pipelines with Airflow and defining data models with DBT.
- Having worked with scikit-learn, pytorch and other AI/ML Python frameworks.
- Experience in leading experimentation and AB testing initiatives.