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2 months ago

Job Summary

As a Product Analytics Engineer at StackAdapt, you will build innovative product analytics solutions that help the product team deliver best in class products to StackAdapt's customers by driving pre-build and post-launch analytics initiatives. You’ll work collaboratively with Product Management and Engineering to launch and iterate on these solutions for our internal users.

  • Minimum Qualification : Degree
  • Experience Level : Mid level
  • Experience Length : 3 years

Job Description/Requirements

What you will be doing:
  • Research, understand stakeholder needs and translate them into analytics requirements
  • Support various product pillars during pre-build initiatives by providing guidance on KPI definitions and telemetry requirements
  • Build analytics pipelines and visualization solutions to track feature ‘health’ after product releases 
  • Maintain and iteratively improve on analytics pipelines that support our core functions
  • Communicate analysis results with stakeholders (PMs, Designers, Leadership, etc.)
  • Contribute to improving the tooling and infrastructure on the product analytics team
  • Become an expert in ad-tech and programmatic media buying; understanding the competitive landscape, the evolving market needs, and how those things relate to StackAdapt's product offering

What you’ll bring to the table:
  • Track record of supplying analytics solutions for existing teams, with the ability to take open-ended goals and scope them into defined and impactful objectives (and can speak to their successes)
  • Demonstrated ability in a similar role analyzing large-scale data, using both SQL and Python, in a professional setting 
  • You have experience in shell scripting(CLI) and version control(git)
  • Basic knowledge of AWS or other equivalent cloud platforms (GCP, Azure, etc.)
  • Experience with data warehousing technologies like Snowflake
  • Familiarity with product analytics tools like Pendo or FullStory (engagement analytics) and Business Intelligence tools (ThoughtSpot, Tableau, Power BI, etc.) would be a bonus

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