Senior Analytics Engineer

Senior Analytics Engineer

Reporting to: VP, Data Analytics

Location: New York, NY

What is Bilt?

Bilt Rewards is the first program for consumers to earn rewards on rent and daily neighborhood spend while creating a path towards home ownership.

With an alliance of the nation’s largest real estate owners, Bilt Rewards enables renters in more than three million units across the country to earn points just by paying rent.

Bilt Rewards boasts one of the highest value rewards programs on the market today, including one-to-one point transfers to twelve loyalty programs allowing members to travel across more than 100 major airlines and hotel partners; fitness classes at the country’s top boutique studios; limited-edition and exclusive collections of art and home decor through the Bilt Collection, and the ability to use points for rent credits or towards a future downpayment.

Bilt has also partnered with Mastercard to create the Bilt Mastercard - the first and only credit card that can be used to pay rent with no fees. 

What’s the role?

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 activating our data in dbt. You will take significant ownership of our BigQuery data warehouse, its performance and its role in connected applications. The ideal candidate has a proven track record developing data products 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
• Partner with the Data Analytics team to model data into usable and scalable formats to drive embedded and self-service analytics for internal and external stakeholders
• Assist Data Analytics  team with 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
• Identify and execute on cost and performance optimizations for existing models, including advanced incremental loading, indexing, and clustering strategies
• Build strong relationships with engineering and business stakeholders and serve as a key centralized function to empower data-driven use cases
• Accelerate our dbt instance from 1 to 100 and take ownership of core BigQuery data assets
• Build technical integrations together with engineering stakeholders to scale and power Bilt’s overall data capabilities 

In terms of qualifications, we’re seeking:

• About you:
• A data professional yearning to solve big-picture problems, learn new things, seek answers in data, who 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:
• 6+ years of experience in analytics engineering or data engineering
• 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; statistics and/or machine learning experience also a plus
• Experience with highly performant analytical databases (e.g. Clickhouse, DuckDB, AlloyDB) and/or caching layers (e.g. Redis) also a plus
• Strong 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 acting as lead for all things data warehouse, including permissions, data governance, scalability and reliability
• 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. Sigma, Looker, Mode, Tableau etc.) and integrating dbt or equivalent semantic layer with these tools
• Experience with reverse ETL solutions, syncing data assets to internal services and/or external platforms via a variety of SaaS / OSS tools (e.g. Census, Hightouch, Airbyte)

Benefits:

• Compensation - We offer a competitive salary with a meaningful stake in the company via equity and our performance bonus program
• Health insurance for you (& your loved ones) from day one - Enjoy a One Medical Membership, wellness stipends, family programs and more, on us. We’ve got you and your family covered from day one.
• 401k plan with a match - Retirement may feel more like a pipe dream than a reality but we’re here to help you get there.
• Commuter FSAs - We believe the best ideas come from being together in one place. We just don’t think getting there should be so expensive.
• UNLIMITED PTO - Because we believe that working hard shouldn’t mean always working. Take time for you as often as you need it.
• Exclusive Employee only Bilt Points - We give our employees unique opportunities to earn points throughout their time at Bilt.
• Team Events - We believe in human connection so we hold events to help our employees break from the monotony of the typical work week.

 

At Bilt Rewards, we believe in transparency and we do our best to make sure the company and our candidates are on the same page as it relates to compensation. In addition to posting salary ranges for our open roles, candidates should expect to be asked about compensation expectations and requirements early on in their interview process. Our goal is to highlight when expectations and Bilt’s salary range may be out of sync, and work with the candidate to determine whether it makes sense to continue conversations.

We are considering candidates with differing levels of expertise for this position. Leveling will be based upon your experience and performance in the interview process.

Where a new hire falls within a range will be based on their individual skills and experience, and how these competencies compare across other employees in the same role. Bilt's bands are designed to allow for individual compensation growth within the role. As such, new hires typically start at the lower end of the range. Bilt rewards performance and outcomes - should you join the company, you will have the opportunity to grow your salary over time.

The salary range for a Senior Analytics Engineer is $150,000 - $200,000 and will be eligible for equity and an annual performance-based bonus.