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Senior Analytics Engineer

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Salary

The base salary range for this role is between $126K - $175K

We’re excited to be looking for a Senior Analytics Engineer to join Brooklinen’s Analytics & Insights team, reporting to the Director & Head of Analytics. This person will be joining a team whose mission is to build better products & customer experiences through data, and you’ll achieve that by partnering cross-functionally for data management and scaled insights needs.

This person will play a critical role in identifying, ingesting, storing, cataloging, and modeling our data into clean, well-documented datasets that are reporting- and analysis-friendly.

What you’ll do

  • Design and maintain performant, reliable data models and visualizations that allow for seamless reporting and analysis, relying on SQL and Python ETL frameworks
  • Work with analysts and engineers to translate business needs into pipelines, data models, dashboards, and measurement solutions
  • Develop deep cross-functional expertise, particularly for our Product/Merchandising, Operations, and Finance teams, and identify data opportunities to drive impact
  • Define and manage SLA for all datasets in your areas of ownership
  • Implement cataloging and documentation best practices in order to raise data literacy and adoption of our data products across the company

We're looking for someone who brings

  • Bachelor’s degree in Computer Science, Computer Engineering, or other technical field; or equivalent practical experience.
  • 5+ years experience in the data modeling and data warehouse space doing ETL design, implementation, and maintenance.
  • Expert-level knowledge of SQL.
  • Proficiency in programming with Python.
  • Experience cleaning data sets, developing new models, and interfacing with cross-functional partners to translate business requirements into technical solutions
  • Experience supporting operations/supply chain, finance, and planning for a retail, ecommerce, or consumer goods company is preferred
  • Experience with dbt a strong plus
  • Experience influencing product and business decisions with data is preferred

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