[Remote] Founding Analytics Engineer

Note: The job is a remote job and is open to candidates in USA. Aboon is an AI-native third-party administrator helping advisors offer 401(k)s and other retirement products through streamlined workflows and dedicated human service. The Founding Analytics Engineer will own the data layer of its retirement servicing platform, including transformation, semantic modeling, governance, product analytics, and AI-access patterns. The role will serve as the company-wide technical data resource and shared source of truth for engineering, servicing, go-to-market, and leadership teams.

Responsibilities

• Own our dbt repo, help us turn legacy queries into models, and build out the marts that power tracking and reporting of our company metrics
• Build and govern the semantic layer and MCP connectors that let internal teams and AI agents query the warehouse conversationally and safely
• Coordinate our data dictionary and drive org-wide data access: definitions, lineage, and self-serve analytics so every team can answer their own questions
• Maintain and extend our product analytics taxonomy and dashboards, keeping event data trustworthy across every product line
• Help us model the entire business: lifecycle speed, funnel conversion, revenue, and the unit economics of AI-delivered plan administration
• Partner with engineering on warehouse architecture and data contracts
• Be the person the company asks first when a number matters

Skills

• 5+ years in analytics/data engineering or an engineering/analyst hybrid role
• An expert with dbt or similar data-modeling infrastructure
• Proficient maintaining and working within a BI tool (we use Metabase)
• Proficient working with coding agents; we're not hand-rolling SQL or dbt models
• Experience developing a semantic layer (dbt Semantic Layer, Cube, or similar)
• Experience making data accessible to AI — MCP servers, LLM data access, or other similar patterns
• Skilled and familiar working within product analytics tooling (PostHog, Amplitude, or similar)
• Working understanding of how a cloud data warehouse operates (we use Redshift)
• Excellent communication skills and comfortable working with non-technical stakeholders directly
• An instinct for governance and trust — clear metric definitions, documented lineage, and making data open and accessible across the organization
• Work authorization required; no visa sponsorship
• Experience in financial services or fintech
• Experience working with LLM/agent observability data and eval metrics (Langfuse or similar)

Benefits

• Annual bonus
• Equity
• Comprehensive health, dental, and vision insurance, with additional optional coverage
• 401(k) with company match
• Flexible paid time off and holidays
• 10 weeks paid parental leave
• A fully remote work environment, with all the technology and equipment you need
• Support for professional development and career growth

Company Overview