Founding Analytics Engineer

Aboon

. Own the dbt repository, convert legacy queries into models, and build marts powering company metric tracking and reporting .

Posted 11/11/2026full-timeRemote • United StatesMid-LevelSenior💰 $170,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data modeling and analytics, particularly with dbt and BI tools like Metabase, while ensuring data governance and accessibility across teams. Proficient in building semantic layers and working with cloud data warehouses to support organizational metrics and reporting.

Highest-signal resume keywords

Dbt Data ModelingMetabase BI Tool ProficiencySemantic Layer DevelopmentCloud Data Warehouse ExperienceData Governance and Accessibility

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringProduct AnalyticsSQLData ModelingData Dictionary CoordinationEvent Data ManagementLifecycle Performance ModelingFunnel Conversion AnalysisRevenue ModelingUnit Economics Analysis

Soft Skills

Excellent CommunicationStakeholder EngagementGovernance Instinct

Tools & Technologies

DbtMetabasePostHogAmplitudeRedshiftMCP ServersLLM Data AccessLangfuse

Industry Keywords

Financial ServicesFintechData AccessibilitySelf-Serve AnalyticsData Lineage

Tech Stack

Tools & technologies

Amazon RedshiftCloud

About the role

Key responsibilities & impact

Own the dbt repository, convert legacy queries into models, and build marts powering company metric tracking and reporting
Build and govern the semantic layer and MCP connectors for safe conversational warehouse access by internal teams and AI agents
Coordinate the data dictionary and drive organization-wide data access, including definitions, lineage, and self-serve analytics
Maintain and extend the product analytics taxonomy and dashboards, ensuring trustworthy event data across product lines
Model business performance, including lifecycle speed, funnel conversion, revenue, and unit economics of AI-delivered plan administration
Partner with engineering on warehouse architecture and data contracts
Serve as the company’s primary data subject-matter expert and resource across engineering, servicing, go-to-market, and leadership teams

Requirements

What you’ll need

5+ years in analytics/data engineering or an engineering/analyst hybrid role
Expert with dbt or similar data-modeling infrastructure
Proficient maintaining and working within a BI tool, specifically Metabase
Proficient working with coding agents
Experience developing a semantic layer, such as dbt Semantic Layer or Cube
Experience making data accessible to AI, including MCP servers or LLM data access
Skilled and familiar working within product analytics tooling, such as PostHog or Amplitude
Working understanding of cloud data warehouses, specifically Redshift
Excellent communication skills and comfort working directly with non-technical stakeholders
Instinct for governance and trust, including clear metric definitions, documented lineage, and organizational data accessibility
Work authorization required; no visa sponsorship
Experience in financial services or fintech is nice to have
Experience with LLM/agent observability data and evaluation metrics, such as Langfuse, is nice to have

Benefits

Comp & perks

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
Annual bonus
Equity