Director, Analytics Engineering

Transformcap; United States; On-site; USD 240,000 - 270,000; Full time

Benefits offered by this job

Discount through Dell for work from home basics

Resources for mental health

Health and fitness app access through Gympass

Job summary

Tebra is seeking a Director of Business Analytics Engineering to lead the data modeling function within its Business Data & Analytics organization. You will own the data models and lead a high-performing team of analytics engineers, working at the intersection of technical depth and people leadership.

This role requires strong analytics engineering experience, effective people management, and the ability to partner with finance stakeholders. Join us at Tebra, where we prioritize data governance and quality to enhance business decision-making.

Qualifications

• 7+ years of experience in data, with 3+ years in analytics engineering or a closely adjacent function.
• 5+ years of people management experience.
• Deep, hands‑on expertise with dbt.

Responsibilities

• Lead and grow the data modeling function within our Business Data & Analytics organization.
• Establish data engineering best practices and modeling standards.
• Drive data quality through automated testing and observability practices.

Skills

Data modeling

People management

dbt

Snowflake

Tableau

Job description

Tebra only initiates contact with candidates via email from an official Tebra email address (@tebra.com , @patientpop.com , or @kareo.com ) or through our applicant tracking system, Greenhouse. We will only ask you to provide sensitive personal information through our official application portal — not via social media or text message. We do not conduct interviews via instant messaging.

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 — 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.
• 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.

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. Learn more at www.tebra.com.

Our Values

Start with the Customer

We get to know our customers - and their patients - and look at the world through their lens.

Keep It Simple

Healthcare is too complex. We aim to simplify it for everyone.

We reject the status quo and solve problems with creativity, perseverance, and a bias to action.

Better Together

We are diverse, humble, and collaborative. We put the team first and win together.

Celebrate Success

Life is short and joy is underrated. We take time to have fun and celebrate success.

United States: In addition to our healthcare benefits, we also offer amazing perks! Need work from home basics? We offer a discount through Dell! We also offer a number of resources to help you keep your mind and body healthy. Check out Gympass for a great workout, or TelusEmployee Assistance Program to find mental health resources, along with other resources for everyday occurrences.

Costa Rica: To assist with all of life’s needs, Tebra also offers a wellness and childcare subsidy and a University/Education discount! We also offer a number of resources to help you keep your mind and body healthy. Check out Gympass for access to health and fitness apps, or Telus Employee Assistance Program to find mental health resources, along with other resources for everyday occurrences.

Compliance & Privacy Disclosures

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.

If you would like to report a fraudulent Tebra job posting, please contact us at [e-mail] and consider reporting your experience to the FBI's Internet Crime Complaint Center or the Better Business Bureau to help keep others safe online, too.

As part of our commitment to a fair and efficient hiring process, Tebra utilizes BrightHire, an interview intelligence platform, for our phone and video screenings. This technology records and transcribes interviews to help us ensure consistency, reduce bias, and make more informed hiring decisions. By applying for this position, you acknowledge that your interview may be recorded.