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Senior Analytics Engineer

Underdog LogoUnderdog
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Salary

$160,000 - $190,000

Location

United States/Remote

At Underdog, data is at the core of every decision we make — from scaling our products to delighting our users. As a Senior Analytics Engineer, you’ll be a cornerstone of our data foundation. You won’t just be building pipelines; you’ll be architecting the models and metrics that power everything from executive dashboards to product experiments. This is a high-impact role where your work will directly influence business strategy, growth, and product innovation.

About the role

  • Build and maintain core dbt data models that turn raw data into clean, trusted, analysis-ready assets (e.g., User 360, Contest Fact, Marketing Attribution).
  • Implement and manage a semantic layer (dbt MetricFlow, Omni, or equivalent) to standardize definitions of key metrics across the company.
  • Own data quality and reliability, setting up automated testing, monitoring, and alerting frameworks.
  • Collaborate with analysts and data scientists across Product, Marketing, Finance, and Ops to understand needs and deliver data models that scale.
  • Contribute to self-service analytics enablement by making models discoverable in tools like Omni, Hex, and Sigma, and building user-friendly dashboards and explores.
  • Champion software engineering best practices in analytics: Git workflows, code review, CI/CD for dbt, and reusable SQL patterns.
  • Document business logic and metric definitions in a central data catalog, ensuring clarity and consistency.

Who you are

  • SQL and data modeling expert, with 4+ years in analytics engineering, BI, or related data roles.
  • Skilled in dbt and modern cloud data warehouses (Snowflake, BigQuery, Databricks).
  • Experienced with semantic layers and BI tools (Omni, Looker, Sigma, Hex) to drive metric consistency.
  • Comfortable with orchestration tools (Airflow, Dagster, Prefect) and Git-based workflows.
  • Detail-oriented with a passion for data quality and reliability.
  • Strong communicator who can translate complex data models into clear, actionable insights for technical and non-technical partners.
  • Collaborative teammate with a bias for action, comfortable in a fast-paced startup environment.

Even better if you have

  • Experience in the sports, fantasy, or gaming industry.
  • Background in real-time or streaming analytics.
  • Contributions to the dbt community or open-source analytics projects.
  • Familiarity with data observability platforms (Monte Carlo, Elementary).

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