Founding Analytics Engineer

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $170k - $190k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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Aboon

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

💳 Fintech

☁️ SaaS

🤝 B2B

💰 $17.5M Seed on 2025-10

Fintech • SaaS • B2B

Aboon is a digital retirement-plan platform and TPA-focused service that helps financial advisors and employers design, launch, and manage workplace retirement plans. The platform combines AI-driven, end-to-end workflows (generation of 401(k) proposals, streamlined onboarding with recordkeepers, and digital compliance testing) with dedicated human support and integrations to trusted recordkeepers. Aboon positions itself as a fast way for advisors to win and scale retirement-plan business, emphasizes enterprise-grade security and audits, and targets both first-time plan sponsors and experienced advisors.

📋 Description

• 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

• 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

• 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

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