Founding Analytics Engineer

Aboon; United States; Remoto; USD 170.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

401(k) with company match

Remote work environment

Parental leave 10 weeks

Descrizione del lavoro

Aboon is seeking a senior analytics engineer to own the data layer of our AI-native retirement servicing platform. You will manage transformations, semantics, and AI-access layers, enabling product, revenue, and operations analytics. This is fully remote in the US, with a flat team and Shape Up cadence.

You will build scalable data models, maintain dashboards, and advocate for data governance, lineage, and self-serve access across engineering, servicing, GTM, and leadership.

Competenze

• 5+ years in analytics/data engineering or hybrid role.
• Expert with dbt or similar data-modeling infra.
• Proficient with a BI tool (Metabase).
• Proficient with coding agents; not hand-rolled SQL/dbt models.
• Experience building a semantic layer (dbt Semantic Layer, Cube, etc).
• Experience enabling data for AI — MCP servers/LLM data access.
• Familiar with product analytics tools (PostHog/Amplitude).
• Understanding of cloud data warehouses (Redshift).
• Excellent communication with non-technical stakeholders.
• Strong governance: metric definitions, data lineage, open access.

Mansioni

• Own our dbt repo and build out marts for tracking/company metrics.
• Govern semantic layer and MCP connectors for safe AI querying.
• Coordinate data dictionary and enable self-serve analytics across teams.
• Maintain product analytics taxonomy and dashboards, ensure data trust.
• Model the business: lifecycle speed, funnel, revenue, unit economics.
• Partner with engineering on warehouse architecture and data contracts.
• Be the go-to person when numbers matter.

Conoscenze

5+ years analytics/data engineering

dbt expertise

Metabase BI

coding agents experience

semantic layer development

AI data access

PostHog/Amplitude product analytics

Redshift understanding

excellent communication

data governance

Strumenti

dbt

Metabase

Langfuse

PostHog

Descrizione del lavoro

About Aboon

Setting up a 401(k) shouldn't be the hardest thing a business ever does. But retirement plan administration is complex, fragmented, and manual — and it slows down both business owners and the advisors who serve them. Aboon was founded to change that.

We're an AI-native third-party administrator (TPA) that makes it easy for advisors to offer 401(k)s and other retirement products by pairing streamlined workflows with dedicated human service. Backed by leading investors including Bain Capital and Edward Jones Ventures, we bring decades of experience building for advisors and the retirement industry. We're looking for exceptional, mission-driven people to build it with us.

About the role

We're seeking a senior analytics engineer to own the data layer of our AI-native retirement servicing platform. You'll be our first dedicated data hire, with end-to-end ownership of the transformation, semantic, and AI-access layers.

You’ll be responsible for building and maintaining the models and metrics that answer our most important questions across our product funnel, revenue, servicing operations, and unit economics of AI-delivered plan administration. Just as important, you’ll help us architect the access patterns and semantic layer that enable both our humans and AI agents to leverage our data in our day-to-day operation.

We use managed ETL (Estuary and Fivetran) and zero-ETL for ingestion, so you won't be building bespoke pipelines. Your job is everything downstream: modeling, semantics, governance, and access. You'll join a small, tight-knit team in a flat hierarchy. Our product teams run a Shape Up-inspired cadence; the data function operates alongside it, and you'll serve as the technical SME and go-to resource for all things data across those teams.

Your work will be the shared source of truth for engineering, servicing, GTM, and leadership.

What you’ll do

• 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.

Our stack

• Redshift + dbt + Metabase.

• PostHog for product analytics.

• Langfuse for agent traces and evals.

• Asana, Stripe, HubSpot, Customer.io as source systems.

• Rails/PostgreSQL, zero-ETL to warehouse.

• Estuary/Fivetran for ETL

What you bring

Required

• 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.

Nice to have

• Experience in financial services or fintech.

• Experience working with LLM/agent observability data and eval metrics (Langfuse or similar).

What we offer

Compensation

The base salary range for this role is $170,000–$190,000, depending on experience, skills, and location. Total compensation also includes an annual bonus and equity.

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

Location

Remote, though we encourage in-person attendance at 1-2 company retreats per year. This role is open to candidates based in the US. Work authorization required; no visa sponsorship.

Aboon is an Equal Opportunity Employer. We encourage applications from all qualified individuals and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected status.