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Senior Analytics Engineer

Bilt Rewards LogoBilt Rewards
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Salary

Salary Range: $150,000 - 200,000

We are looking for an experienced data professional to join a renowned team that is transforming the future of renting, home ownership, and rewards. You will play a key role driving business growth by building the data foundation to unlock strategic & analytical insights, with an emphasis on structuring, modeling, testing and mapping our data in dbt. The ideal candidate has a proven track record developing data-driven analytics solutions and key stakeholder relationships. You will work directly with Bilt’s leadership as a key influencer driving growth and strategy at Bilt.

In this role, you will…

  • Be instrumental in growing Bilt’s analytics engineering function as the first hire dedicated exclusively to analytics engineering to support the business’ goals
  • Define and analyze metrics that quantify the performance of Bilt’s product suite in the markets that we serve
  • Partner with the Analytics team to model data into usable and scalable formats to drive speed-to-insights and self-service analytics, for internal and external stakeholders
  • Own end-to-end development of models/tests/alerts/semantic models/metrics to be consumed by internal and external stakeholders
  • Identify and execute on opportunities for employing advanced analytics and building complex models to answer business problems such as sessionization of events data, marketing attribution, granular profit modeling, LTV and Churn
  • Build strong relationships with stakeholders across the business and influence product and strategic roadmap
  • Accelerate our dbt instance from 1 to 100

In terms of qualifications, we’re seeking...

About you:

  • A data professional with a yearning to solve big-picture problems, learn new things, seek answers in data and finds comfort in uncertainty
  • A natural communicator, who can think in terms of solutions instead of tools, and can explain sophisticated systems to technical and non-technical audiences with equal clarity
  • Engineering-minded with a strong bias towards action, delivering results quickly with iteration instead of waiting for perfection
  • Strong prioritization and organizational skills the ability to juggle many tasks at once in a fast-paced, entrepreneurial environment
  • Experience implementing advanced alerting and monitoring and building resilient systems and processes
  • A heart-first contributor who is able to deliver complex projects with multiple stakeholders

Experience:

  • 4-8 years of data analytics, analytics engineering, or BI analytics experience
  • A SQL wizard, who feels at home in a modern data warehouse (e.g. BigQuery, Snowflake) and experienced with Python, other programming languages such as Java a plus
  • Experience with dbt, comfortable owning / building out dbt projects, leveraging Jinja, YAML to enable analytics at scale, experience with dbt semantic layer or similar backend semantic modeling
  • Experience orchestrating large datasets and DAG dependencies; familiar with tools such as dbt Cloud, Airflow, Cloud Composer or similar tools
  • Experience applying best practices and frameworks such as DRY, incremental models, testing and alerting, and generating documentation
  • Partnering with Data Engineering to ingest and model new data sources, and manage database migrations
  • Experience with a variety of BI Tools (e.g. Looker, Mode, ThoughtSpot, Sigma etc.) and integrating dbt or equivalent semantic layer with these tools

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