Data Product Analyst
Skills
Actuarial ScienceAnalytical SkillsBusinessChange ManagementEnablementFinanceMesh
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 6–10 years in data-aligned roles such as data product BI analytics engineering data governance stewardship domain analytics technical BA or PO
- Strong insurance domain knowledge across policies claims premiums and downstream reporting
- Working knowledge of modern data platforms pipelines transformations dimensional modelling and semantic layers
- Ability to define core insurance entities grain aggregation rules and standard metrics
- Experience with Reserving Reinsurance and or Finance Month Close processes preferred
- Strong structured communication and ability to drive alignment across Finance Actuarial and Operations
Nice to have
- Structured communication
- Decision-oriented
- Ambiguity handling
- Governance mindset
- Domain ownership
Day to day
- Translate insurance domain needs into clear data product specifications with defined scope assumptions and acceptance criteria
- Design enhance and maintain certified data products across the full lifecycle including versioning backward compatibility and roadmap support
- Act as a domain design authority ensuring data products are semantically correct analytically fit for purpose and aligned to governance and reporting requirements