Heap

San Francisco
201-500 employees
Heap is an analytics platform that helps product, marketing, and customer success teams craft exceptional digital experiences that convert and retain users.

Senior Analytics Engineer

Senior Analytics Engineer

This job is no longer open

This is a unique opportunity to be Heap's first analytics engineer! You’ll have the opportunity to define the data architecture and have a huge impact on the business. You’ll play a critical part in building and optimizing the BI infrastructure at a company with people across the organization hungry to optimize with data. If you’re someone who is curious, self-directed, and a strong business partner, join us! 

What you will be doing:

  • Provide clean & reliable data objects to analysts across the organization, modeling data in a way that empowers them to answer their own questions
  • Maintain optimal data pipeline architecture, including looking for and proposing improvements to the existing architecture
  • Assist analysts in identifying the best data to use to answer business questions through data dictionary maintenance and overall data knowledge
  • Assist analysts with data gathering and provide insight for improving SQL query construction
  • Work with functional business leaders to integrate new data sources and software solutions into the reporting environment
  • Implement cataloging best practices and lead the definition, collection, documentation of our data sources
  • Invest in end-user data literacy through hands-on training with folks around the company
  • Own third-party data vendor management, e.g. dbt, Fivetran, Stitch, Snowflake, Looker

What we’re looking for: 

  • 3+ years of experience in a Data Engineer role, or 5+ years of experience as an analyst with an accompanying technical portfolio
  • Experience working with business process owners and analysts to create and maintain purpose-built data infrastructure
  • Expert-level SQL skills and proficient knowledge of Python, R, Julia, JS, or another data-focused programming language
  • Experience designing data models
  • Deep interest in learning about and keeping up with quickly evolving industry trends around the modern data stack and data best practices
  • Advanced knowledge and optimization know-how of modern data pipeline architecture, e.g. Snowflake, Fivetran, dbt

People are what make Heap awesome. Regardless of age, education, ethnicity, gender, sexual orientation, or any personal characteristics, we want everyone to feel welcome. We are committed to building a diverse and inclusive equal opportunity workplace everyone can call home.

Heap has raised $95M in funding from NEA, Y Combinator, Menlo Ventures, SVAngel, Sam Altman, Garry Tan, Alexis Ohanian, Harj Taggar, Ram Shriram, and others. We offer plenty of awesome benefits, and we were named #1 on Glassdoor’s Best Places to Work (SMB). We'd love to hear from you!

#LI-LB1

This job is no longer open
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