Senior Product & Business Analyst

Adobe Adobe · Enterprise · Noida, India

Senior Product & Business Analyst at Adobe Document Cloud, focusing on user behavior analysis, insight generation, and influencing product/business decisions through rigorous analysis and dashboarding. Responsibilities include designing and maintaining dashboards, leading deep-dive analyses, defining success metrics, analyzing A/B tests, and collaborating with cross-functional teams. Requires expertise in SQL, Power BI, Tableau, and experience with large-scale data platforms and statistical analysis.

What you'd actually do

  1. Design, build, and maintain high-quality dashboards and reporting in Power BI and Tableau that track product usage, feature adoption, and business KPIs
  2. Lead deep-dive analyses beyond dashboards to understand user behavior, funnels, cohorts, and feature performance
  3. Define and evolve product success metrics and KPIs, aligning them with product strategy and business goals
  4. Design and analyze A/B tests and experiments, including hypothesis definition, metric selection, and statistical evaluation
  5. Act as a trusted analytics partner across Product, Engineering, Product Marketing, GTM, and Finance

Skills

Required

  • 6–12 years of experience in Product Analytics, Business Analytics, or Data Analytics roles
  • Expert-level SQL (complex joins, window functions, CTEs, performance tuning)
  • Hands-on experience working with large-scale data platforms such as Azure Databricks
  • Strong proficiency in Power BI and Tableau for dashboarding and insight communication
  • Solid foundation in statistics, experimentation, and analytical thinking
  • Working knowledge of Python or R for analysis, automation, or advanced analytics

Nice to have

  • balance ongoing dashboarding needs with deep-dive analytical work
  • sense of ownership
  • comfort operating in ambiguous problem spaces

What the JD emphasized

  • deeply understanding user behavior
  • uncovering meaningful insights
  • influencing product and business decisions
  • rigorous analysis
  • massive monthly active user base
  • high-impact role
  • strong ownership
  • ambiguous problem spaces
  • Expert-level SQL
  • large-scale data platforms
  • Solid foundation in statistics, experimentation, and analytical thinking