Data Product Analyst
Accelerant
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- Translate domain needs across underwriting, pricing, claims, finance, and distribution into data product specifications with clear scope, assumptions, and acceptance criteria.
- Define and maintain core insurance entities and relationships (e.g., policy, coverage, risk, claim, exposure, transaction), including grain and aggregation rules (e.g., policy-term, risk-level, claim-occurrence, transaction-level).
- Define standard insurance metrics and logic (e.g., written/earned premium, loss ratio, frequency, severity, reserves) and ensure consistent interpretation across consuming teams.
- Ensure the data product model accurately represents complex structures such as multi-line policies, endorsements, reinsurance structures, claims development, and reserving movements.
- Design, enhance, and maintain data products in collaboration with data engineering and platform teams.
- Oversee the full data product lifecycle, including versioning, enhancements, deprecation, and backward compatibility.
- Support domain prioritization and roadmap planning for data products; maintain a transparent backlog aligned to business outcomes and OKRs.
- Define and maintain the documentation to ensure certified data product are shipped with appropriate metadata including business definitions, lineage, quality expectations, usage guidance, ownership.
- Collaborate with Data Quality and Data Governance teams to apply federated standards while preserving domain ownership.
- Define and execute validation and testing strategies (quality thresholds, completeness checks, reconciliation validations) to ensure reliability for analytics and reporting consumers.
- Perform impact analysis and coordinate change management for schema/metric/logic changes across consuming domains; communicate changes clearly and manage transition plans.
- Act as the primary point of contact for data product consumers - supporting adoption, correct usage, interpretation, and self-service enablement.
- Contribute to reusable templates/playbooks (metric definition template, acceptance criteria checklist, “definition of done” for data products) and coach domain SMEs in applying them consistently.
Requirements
- Typically 6–10 years in data-aligned roles (e.g., data product, BI/analytics engineering, data governance/stewardship, domain analytics, technical BA/PO)
Benefits
- Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data product specificationsinsurance metricsdata modelingdata lifecycle managementvalidation strategiesimpact analysischange managementdata qualitydata governanceanalytics reporting
Soft Skills
collaborationcommunicationcoachingprioritizationdocumentationtransparencyadaptabilityproblem-solvingstakeholder managementself-service enablement