Product Analyst
D
DocplannerHealthcare Tech
100% Remote within SpainFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLMicrosoft Power BIGoogle AnalyticsTableauA/B testingdbt
Requirements
- 5+ years of relevant experience in analytics, working with business KPIs and metrics.
- 2+ years working closely with product managers and user research teams.
- Proficiency in SQL.
- Experienced with DBT.
- Data visualization tools such as Tableau, PowerBI or similar.
- Event-tracking tools such as Google Analytics, Amplitude or similar.
- Python and its ecosystem of Data Science libraries.
- Great communication skills and stakeholder management.
- Fluent in manipulating, transforming, and reshaping data, preferably 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 on tools and helping teams become more data-literate and autonomous.
Responsibilities
- Help product areas to strategically build the product: bring ideas for new growth opportunities based on your expertise, estimate the potential impact of such ideas and guide our strategy through metric frameworks and insights.
- Work with higher management, business stakeholders and researchers to create and validate hypotheses from both a qualitative and quantitative perspective.
- Create and maintain dashboards, analysis and forecasts related to our team’s 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 who our customers are and what are their main drivers to engage with our products.
- Work closely with Data Engineering to maintain and improve data-sources used in some of our main dashboards.
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