Data Product Analyst

🕒 February 25

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔍 Product Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Accelerant

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

☁️ SaaS

🤝 B2B

💰 $150M Private Equity Round - Accelerant on 2023-06

SaaS • B2B

Accelerant is a digital-first risk exchange and insurance platform that connects managing general agents (MGAs), underwriters, reinsurers, and institutional capital through a tech-powered, data-driven marketplace. The platform provides real-time analytics, underwriting tools, performance metrics, and operational support (actuarial, claims, regulatory) to streamline specialty insurance distribution and enable faster, more transparent capital deployment. Accelerant positions itself as a SaaS-style partner for specialty insurance firms, focused on improving efficiency, transparency, and profitable growth.

📋 Description

• 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