Senior Product Analyst, SF

Intercom   •  

San Francisco, CA

Industry: Technology


5 - 7 years

Posted 33 days ago

What will I be doing? ?

  • You’ll deeply partner withproduct managers and product engineers to develop and answer critical questions and help drive the strategic direction of the product
  • You’ll collaborate with a global team of analysts, data scientists and data engineers to democratize data across Intercom and to foster a culture of measurement, metrics and experimentation
  • You’ll gain an in-depth understanding of the product and the flow of data through the product. You’ll measure the success of our product iterations and product launches. You'll conduct exploratory analyses to surface core patterns of product usage
  • Through impactful analytics projects you’ll help build and influence our product roadmap. You’ll develop hypotheses, design and conduct controlled experiments and make concrete product recommendations based on experiment outcomes
  • You’ll share your findings and recommendations across the company and champion the use of data to drive product directions
  • You'll lead strategic projects at the team, product and company level, building strong partnerships throughout the company

What skills do I need? ?

  • 4+ years experience in a quantitative analysis role, specifically working closely with product teams (e.g. data analyst, product analyst, data scientist)
  • BA/BS or MSdegree preferably in quantitative discipline (e.g., Applied Math, Econ, Statistics, Eng, CS)
  • Excellent SQL skills and experience with a scientific computing language (such as R or Python)
  • Good knowledge of statistics. Experience running A/B and multivariate tests.
  • Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision
  • Excellent communication skills (technical and non-technical)
  • Experience with BI/Visualization tools like Tableau, Superset and Looker
  • Nice to haves: building predictive / ML models, building data pipelines and / or developing frameworks for sharing skills/knowledge across data teams :)