Back
Known product brand, mid-level data role in Bangalore with common skills attracts high applicant density.
Product analytics and SQL skills are broadly transferable across industries.
Explicit 2–4 years requirement plus mandatory advanced SQL and pipeline tooling enforces strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Build and maintain dashboards, reports, and metrics to monitor product performance and inform decision-making.
Perform quantitative analysis, data mining, and statistical analysis to extract insights on user interaction and product usage.
Create and automate data pipelines for collection, cleaning, and aggregation of user-level and interaction data.
2-4 years of experience in quantitative analysis.
Advanced SQL expertise is mandatory; experience with Hive, Spark, or distributed computing is a plus.
Proficiency with data visualization tools such as Tableau, PowerBI, or Looker.
Experience in developing, scheduling, and monitoring data pipelines using Apache Airflow.
Experienced in cross-functional collaboration with Product and Engineering teams to influence product decisions based on data.
Strong statistical knowledge with practical experience in applied statistics including distributions, statistical testing, and regression.
Demonstrated ability to independently initiate and drive data projects to completion with minimal guidance.