Tebra Director of Business Analytics Engineering at Tebra to lead data modeling and semantic layer development. Responsible for building and mentoring a team of analytics engineers and partnering with Finance and Data Analysts.
Responsibilities
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.
Qualification
Familiarity with data mesh#LI-BG1 #LI-RemoteRemote Pay Range
Preferred
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.
#LI-BG1 #LI-Remote
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.
