Related skills
sql python tableau dbt statistics📋 Description
- Collaborate with product and business teams to define metrics and KPIs.
- Build analytics foundation using SQL and dbt for reporting.
- Design and maintain Tableau dashboards for day-to-day decisions.
- Perform A/B testing incl. design, inference, and significance testing.
- Run ad-hoc analyses to uncover insights and validate hypotheses.
- Communicate findings clearly to technical and non-technical stakeholders.
- Iterate metrics and dashboards with stakeholders as needs evolve.
🎯 Requirements
- Strong SQL and Python skills for data analysis and modeling.
- Experience with dbt for analytics engineering workflows.
- Experience building dashboards in Tableau or similar BI tools.
- Solid foundation in statistics, experimentation, and hypothesis testing.
- Ability to work cross-functionally and communicate insights effectively.
🎁 Benefits
- Experience building or prototyping ML models.
- Exposure to AWS for data storage or analytics workloads.
- Experience with data pipelines and collaborating with data engineering teams.
- Knowledge of feature engineering and model evaluation concepts.
- Experience with Git for version control.
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