Director, Analytics Engineering
About the role
We're looking for a Director of Business Analytics Engineering to lead and grow the data modeling function within our Business Data & Analytics organization. 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.
Responsibilities
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.
Partner closely with Finance-aligned Data Analysts to understand their analytical needs and translate those into clean, well-governed, reusable data assets.
Drive data quality; build automated testing, alerting, and observability practices that give business stakeholders confidence in the numbers.
Ensure Tableau dashboards and Finance-facing self-service analytics are powered by clean, performant, well-modeled data assets.
Define the Business Analytics Engineering roadmap and communicate priorities and progress to senior leadership.
Evaluate and adopt tooling and best practices as the business data ecosystem evolves.
Requirements
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.
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.
Qualifications
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.
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.
Skills
Technical Leadership: Design and own a scalable, well-documented semantic layer that serves as the authoritative source of truth for business metrics and KPIs.
People Leadership: Hire, develop, and retain a team of analytics engineers, setting clear expectations and career growth paths.
Strategy & Stakeholder Engagement: Serve as the primary data modeling and engineering partner to Finance and other internal business functions.
Benefits
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 - $270,000 USD
About Tebra
Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. Designed to replace the clunky, fragmented tools built for corporate systems, Tebra connects EHR software, billing, automation, telehealth solution, and marketing — so providers can spend less time on admin and more time with patients. More than 42,000 private practices trust Tebra to streamline operations, increase revenue, and reduce burnout — helping clinicians leave work on time and rediscover their purpose.