Note: The job is a remote job and is open to candidates in USA. Fora Financial is a technology-enabled provider of flexible financing to small and medium-sized businesses. They are hiring a dedicated Analytics Engineer to own dbt and the modeling layer that defines business metrics, working closely with the VP of Data & AI and the data team.

Responsibilities

• Dbt at Fora: project structure, conventions, CI/CD, tests, contracts, documentation, and performance
• Data models across bronze, silver, and gold layers
• The semantic layer (dbt MetricFlow or equivalent): metric definitions, dimensions, governance, and adoption
• Production operation of the transformation layer: jobs, dependencies, failures, retries, alerts, environments, and release hygiene
• Python tooling for validation, dbt utilities, lightweight automation, and integrations
• Data quality, test coverage, and observability for modeled tables
• Partnership with Risk & Analytics to formalize business metrics currently spread across SQL, Tableau, and analyst knowledge

Skills

• Deep dbt experience. You have shipped and operated dbt as production software, not just a SQL wrapper. You have opinions about structure, macros, packages, tests, contracts, and CI
• Strong dimensional and event-based modeling fundamentals: star schemas, conformed dimensions, slowly changing dimensions, point-in-time logic, grain discipline, and event-based modeling
• Semantic-layer experience. You have built or owned metric definitions as code using MetricFlow, LookML, Cube, AtScale, or similar
• Python competence for production analytics: API pulls, validation scripts, data quality checks, dbt utilities, lightweight automation, and debugging. You do not need to be a platform engineer, but you cannot be SQL-only
• Working knowledge of orchestration: DAGs, dependencies, retries, alerts, incremental processing, logs, SLAs, and deployment environments
• Git fluency: branches, rebases, conflict resolution, and meaningful commit history
• Clear stakeholder communication. You can explain trade-offs, say no diplomatically, and maintain standards while building trust
• Strong writing. You write useful PRs, durable documentation, and decision records other people can follow
• AI-native curiosity. You are actively learning how LLMs, MCP, and governed semantic layers change analytics workflows, and you want to apply that learning responsibly
• 3+ years of analytics engineering experience for Senior; 6+ for Staff. Level is based on scope of ownership, technical judgment, and ability to set direction independently
• Lending or financial-services domain experience
• Comfort using LLMs to accelerate SQL, tests, documentation, and boilerplate while applying strong judgment to grain, semantics, and governance
• Hands-on experience with agentic analytics, Claude Code, MCP servers, dbt MCP, agent QA, or prompt engineering against governed metrics
• Experience building a context layer, data dictionary, or MCP-addressable documentation
• Snowflake performance tuning, Iceberg, or warehouse cost optimization experience

Benefits

• Company-subsidized medical, dental, and vision plans with leading insurance providers.
• 401(k) plan with company match.
• Life insurance at no cost to employees.
• Generous time off plan, including rollover vacation days.
• Health care and dependent care flexible spending accounts.
• Commuter benefits.
• Remote working model.

Company Overview