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
- 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
- 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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