Director, Analytics Engineering

Role Description

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.

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.
  • 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.
  • 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.

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.

Benefits

• Healthcare benefits.
• Discount through Dell for work from home basics.
• Resources to help you keep your mind and body healthy, including Gympass and Telus Employee Assistance Program.
• Wellness and childcare subsidy in Costa Rica.
• University/Education discount in Costa Rica.

Company Description

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.