Director, Analytics Engineering

Tebra; Newport Beach (CA); Hybrid; USD 240,000 - 270,000; Full time

Job summary

Tebra is seeking a Director of Business Analytics Engineering to lead and grow the data modeling function within our analytics team. This leadership role requires a combination of technical expertise and people management.

Responsibilities include owning the data models, ensuring data quality, and mentoring analytics engineers. The ideal candidate will have a strong background in data engineering and analytics.

This position is based in Newport Beach, California, and offers a remote pay range of $240,000 - $270,000 USD.

Qualifications

• 7+ years of data experience, with 3+ in analytics engineering.
• 5+ years managing teams, not just leading them.
• Hands-on expertise with dbt and strong Snowflake proficiency.

Responsibilities

• Lead the data modeling function within the analytics team.
• Design and own a scalable semantic layer for business metrics.
• Hire and develop a high-performing team of analytics engineers.

Skills

Data modeling

People management

dbt expertise

Snowflake proficiency

Communication skills

Tableau proficiency

Job description

Director of Business Analytics Engineering

We’re looking for a Director of Business Analytics Engineering to lead and grow the data modeling function within our Business Data & Analytics organization — a player/coach who thrives at the intersection of technical depth and people leadership. You’ll own the data models, transformation layer, and semantic foundation that power business decision-making, while building and mentoring a high‑performing team of analytics engineers.

This role sits at the core of how our internal business stakeholders — including Finance and the Data Analysts who support them — trust and use data. You’ll partner closely with Finance‑aligned Data Analysts to understand their analytical needs and translate those into clean, well‑governed, reusable data assets. Our BI Engineering team owns the data ingestion pipelines and stack administration; your lane is the semantic layer and data models built on top of that foundation.

Your Area of Focus

• Technical Leadership
  • Design and own a scalable, well‑documented semantic layer that serves as the authoritative source of truth for business metrics and KPIs – the foundation Finance and Data Analysts rely on daily.
  • Establish data engineering best practices, modeling standards, and data quality controls across the organization.
  • Own and evolve our dbt + Snowflake transformation layer, including modeling standards, testing frameworks, documentation practices, and CI/CD workflows.
  • Drive data quality; build automated testing, alerting, and observability practices that give business stakeholders confidence in the numbers.
  • Partner with BI Engineering on the handoff between ingested data and modeled data, ensuring clean interfaces and clear ownership boundaries.
  • Ensure Tableau dashboards and Finance‑facing self‑service analytics are powered by clean, performant, well‑modeled data assets.
• People Leadership
  • Hire, develop, and retain a team of analytics engineers, setting clear expectations and career growth paths.
  • Foster a culture of craft — high standards for code quality, peer review, documentation, and knowledge sharing.
  • Partner with Finance leadership and their Data Analysts to deeply understand business data needs and translate them into the modeling roadmap.
  • Serve as a technical escalation point and hands‑on contributor when the work demands it.
• Strategy & Stakeholder Engagement
  • Serve as the primary data modeling and engineering partner to Finance and other internal business functions — translating analytical requirements into durable, reusable models that analysts can self‑serve against.
  • Assist in establishing company‑wide standards for metric definitions, data governance, documentation, and data stewardship across business functions.
  • Define the Business Analytics Engineering roadmap and communicate priorities and progress to senior leadership.
  • Champion data governance, lineage, and trust — ensuring business stakeholders always know which numbers to trust and why.
  • Collaborate on shared standards while maintaining clear ownership of the modeling and semantic layer domain.
  • Evaluate and adopt tooling and best practices as the business data ecosystem evolves.

Your Professional Qualifications

• 7+ years of experience in data, with 3+ years in analytics engineering or a closely adjacent function.
• 5+ years of people management experience; you’ve built and developed teams, not just led them.
• Deep, hands‑on expertise with dbt — you’ve built production‑grade dbt projects and can speak fluently to modeling patterns, testing, macros, and CI/CD.
• Strong Snowflake proficiency and ecosystem — query optimization, warehousing strategy, cost management.
• Experience partnering with Finance, FP&A, or business operations teams — you understand the domain and can speak their language as fluently as SQL.
• Fluency with Tableau or comparable BI tools; you understand what good data modeling looks like from the consumer’s perspective.
• Track record of building and maintaining semantic/metrics layers and defining organizational standards for KPIs.
• Strong communication skills — equally comfortable in a dbt PR review and a presentation to the VP of Finance.

Preferred Qualifications

• Familiarity with or experience in SaaS business models and related metrics.
• Experience with data observability tooling (Monte Carlo, Elementary, etc.).
• Familiarity with data mesh, data products, or federated ownership models.
• Exposure to ML feature engineering or working alongside Data Science teams.
• Background in a high‑growth or scaling analytics environment.

Compensation

In compliance with California's pay transparency laws, the compensation range for this position will be provided and may include an hourly rate, annual salary, or On‑Target Earnings (OTE), depending on the nature of the role. The specific compensation structure and detailed range will be discussed with qualified candidates during the initial talent screen.

Remote Pay Range: $240,000 USD - $270,000 USD

Equal Opportunity Employment

NOTE: Tebra is an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.