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Data Product Analyst
Not specifiedFull-timeProduct AnalyticsInsurance
Lead end-to-end specification and development of data products and data infrastructure for research and business teams. Translate business needs into data solutions and collaborate with data engineering, BI, and business stakeholders.
Responsibilities
- Lead end-to-end specification and development of data products.
- Translate business requirements into data solutions and define KPIs, metrics, business entities, and calculation rules.
- Coordinate with data engineering, BI, and business stakeholders.
- Define data quality controls and metrics.
- Use SQL for data exploration, validation, and controls.
- Contribute to data architecture and data processing design.
Requirements
- At least 4 years of experience in data systems analysis.
- Experience specifying and leading data products from business needs through data sources, business logic, and delivery to users.
- Strong understanding of data models, data engineering processes, and data architecture.
- Experience defining data quality rules, metrics, and approval criteria.
- Experience with Databricks and Azure data platforms.
- Advanced SQL skills, including complex queries, data exploration, validation, and controls.
- Practical Python experience focused on data processing and infrastructure.
- Experience with documentation, version control, and Git.
Nice to have
- Experience in finance or insurance is a strong advantage.