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Role Overview
We’re looking for a data-driven Senior Product Analyst with a knack for root cause analysis (RCA) , a solid grasp of product operations , and can connect the dots between data and product operations .
You’ll use dashboards, data pulls, and ML-driven outputs to identify patterns, troubleshoot performance issues, and help the business make smarter decisions faster.
You won’t be coding full dashboards — Instead, you’ll slice and dice the data , investigate anomalies, partner with analytics to get deeper pulls and collaborate with analytics / data science teams to apply machine learning insights in a product operations setting.
Responsibilities
- Root Cause Analysis & Troubleshooting
Investigate performance anomalies (e.g., contact rate drops, deliverability issues, spam triggers, carrier code failures).
Use Tableau and backend data to trace issues from symptom to root cause.Document RCAs with clear findings, proposed solutions, and follow-up on implementation.Data Analysis & Operational InsightsMonitor and interpret KPIs like contact rates, deliverability %, spam block rates, and conversion rates.
Perform ongoing trend analysis and shareouts to inform daily operational decisions.Good to have if you can apply AI / ML-powered tools to detect hidden patterns, predict anomalies, and automate parts of the analysis process.Design and evaluate A / B tests and controlled experiments on texting cadences, campaign routing, and engagement strategies.Analyze experiment outcomes (including ML-based predictions) to recommend data-backed optimizations .Reporting & CommunicationDeliver recurring performance reports for key product and growth metrics — ensuring they lead to clear, actionable changes .
Present findings clearly to both technical and non-technical teams.Collaborate closely with the Data Analytics and Data Science teams for custom pulls, ML insights, and deeper analysis.Qualifications
Must-Have :
4+ years experience as a Product Analyst, Product Operations Analyst, or similar role.Strong RCA skills — methodical, detail-oriented, able to find the true cause of an issue.Ability to interpret large datasets, identify anomalies, and spot trends quickly.Quick learner with the ability to grasp new product workflows and data pipelines fast.Excellent verbal and written communication skills in a Global Team environment (MUST)Nice-to-Have :
Basic understanding of ML models (classification, regression, clustering) and their business applications.Basic SQL querying skills for self-service exploration.Familiarity with messaging operations (10DLC, toll-free, compliance).Experience in A / B testing and campaign optimization.What Success Looks Like
Every RCA you own leads to a clear, evidence-backed solution .Trends and risks are spotted early, preventing performance losses.You become the bridge between product operations and analytics , turning data into decisions that move the needle.Should comfortable working from 5pm-2am IST shift
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