Prabhakar Kumar
Dynamic and results-driven Senior Data Analyst with 4+ years of experience in business finance, growth analytics, and data-driven decision-making. Proven expertise in new user acquisition, repeat user growth, cohort analysis, retention optimization, and PnL insights. Adept at building automated dashboards, designing KPI frameworks, and developing scalable data pipelines that enhance operational efficiency.
Demonstrated leadership through managing analytics teams, optimizing processes, and driving cross-functional collaboration across marketing, finance, and product. Skilled in SQL, Python, Excel, BI tools, and advanced statistical techniques, with a strong ability to translate complex data into clear, actionable insights that improve user engagement, reduce inefficiencies, and support strategic initiatives.
Experience
Senior Manager
ZYPP Electric
Gurgoan, Haryana
Designed and automated the rider payout reporting pipeline, streamlining client data processing and reducing report preparation time by 75 Percentage (from 2 hours to 30 minutes), resulting in faster and more reliable rider payments.
Developed automation solutions for multiple BAU processes, minimizing manual intervention, improving data accuracy, and enabling the team to focus on high-impact analytical work.
Senior Data Analyst
ZOMATO
Gurgoan, Haryana
Led new user and repeat user growth analytics, identifying behavioral patterns that improved user acquisition and retention strategies.
Built automated dashboards and KPI trackers to monitor revenue, user cohorts, and marketing performance.
Collaborated with marketing, and product teams to align growth metrics with financial projections and budgeting.
Performed cohort analysis, funnel analysis, and churn modeling to evaluate user lifecycle performance and design targeted retention interventions.
Created a refund dashboard to track PnL impact and streamline the refund process.
Performed retention and frequency analysis across user segments to identify churn patterns.
Delivered insights to refine refund criteria, reducing unnecessary payouts and improving efficiency.
Collaborated with business and product teams to implement data-driven improvements in customer processes.
Built a PnL at user cohort, helping identify and prioritize high-value segments for targeted marketing.
Performed ad-hoc analyses to support campaign optimization, user segmentation, and strategic decision-making.
Lead Data Analyst
POLSTRAT
Noida, UP
Process Optimization: streamlining workflows, improving operational efficiency, and ensuring smooth project execution through effective planning and project management.
Managed and mentored a data analytics team: overseeing recruitment, training, and development while pioneering scalable processes that enhanced team capability and long-term organizational efficiency.
Senior Analyst
IPA
Hyderabad, Telangana
Designed interactive dashboards and performed advanced analytics using Python, Excel, and QGIS across multiple state elections, enabling data-driven campaign strategies.
Built and optimized end-to-end data pipelines for cleaning, preprocessing, and analysis, including IVRS report automation and Selenium-based web scraping to generate timely campaign insights.
Served as a Data–Tech liaison, contributing to the development of the Didi’r Doot app and ensuring seamless alignment between technical implementation and strategic objectives.
Education
IIT BHU (Varanasi)
Bachelor of Technology
Skills
Personal Projects
Sales Insight Dashboard
Self Project
MySQL Data Integration and Querying: Proficiently ingested data into MySQL, demonstrating expertise in writing complex queries for table joins, record counting, and cross-verification of final outputs.
ETL and Data Transformation in Tableau: Executed Extract, Transform, Load (ETL) processes in Tableau to cleanse data by removing outliers, rectifying bad records, and normalizing revenue figures for enhanced accuracy.
Dynamic Dashboard Development: Engineered a dynamic Tableau dashboard capable of showcasing revenue and sales growth across diverse markets, providing valuable insights based on monthly and yearly trends.