#37415224 || Senior Product & Business Analyst

ADOBE INDIA · DOCUMENT CLOUD ANALYTICS · VIA OMHRA PAYROLL

Senior Product & Business Analyst REQ #37415224

Run the experiments that decide what ships in Acrobat — across web, desktop, mobile and Scan.

LOCATION

About the role

Adobe's Document Cloud analytics team owns the numbers behind Acrobat — on web, desktop, mobile and Scan. You'll sit at the centre of how features get launched: framing the hypothesis for an experiment, defining the KPIs with the Product Manager, running the analysis once the feature ships, and taking the insight and recommendation to leadership. This is a hands-on experimentation role, not a reporting one. If you like being the person who can answer “did it actually work, and why” — with the SQL to prove it — this is your seat.

WHAT YOU'LL OWN

Experimentation, end to end CORE OF THE ROLE

• Own A/B tests and JDIs from start to finish for one of the Acrobat surfaces
• Frame the hypothesis for each feature launch and define the KPIs that will judge it — then align them with the Product Manager
• Analyse results post-ship, read out what moved and why, and make the call: scale it, tweak it, or kill it
• Present insights and recommendations to leadership for launch review

Data & SQL

• Write the SQL that pulls it all — clickstream and product event data at Acrobat scale
• Work across product metrics and finance metrics: usage, adoption, and the monetisation impact of what you launch
• Root-cause metric movements and anomalies independently

Dashboarding & Automation

• Build and maintain Power BI / Tableau dashboards to present results and automate recurring reporting
• Keep metric definitions clear and reporting self-serve for product stakeholders

Ownership & Partnership

• Run your surface independently — limited handholding, limited KT
• Partner day to day with Product Managers, Engineering and Finance
• Translate analysis into a clear recommendation, not a data dump

WHAT YOU BRING

Must Have

• 3+ years of hands-on A/B testing in a product role — you've set hypotheses, chosen KPIs and read out results yourself
• Strong SQL — window and rank functions, date functions, complex joins, working comfortably with clickstream event data
• 4–5+ years total in Product / Business / Data Analytics
• Hands-on dashboarding in Power BI or Tableau — built by you, not just viewed
• Ability to own projects independently and think through a product lens
• B.Tech or higher

Good to Have

• Python for analysis and automation; exposure to Gen AI use cases
• Azure Databricks — preferred, not required; strong SQL transfers
• Finance, web or cloud data exposure
• Domain is open
• Any industry background works. What matters is that the A/B testing experience is real and hands-on, and that you can reason about a product the way its users experience it.

Selection Process — 3 Rounds

• ROUND 1: SQL, in depth
• ROUND 2: A/B Testing & Dashboarding
• ROUND 3: Project & Ownership