Rahul Saini
Deputy General Manager @Paytm ll Ex-Cars24 ll MBA@IMT GHAZIABAD
- Role
- Deputy General Manager at Paytm
- Location
- New Delhi, DL, IN
- LinkedIn followers
- 500 followers
About Rahul Saini
Data Analyst | 11+ Years of Experience | Data Visualization | Automation | Predictive AnalyticsWith over 11 years of experience in the data analytics space, I am a results-driven Data Analyst with a proven track record of managing end-to-end data processes—from mining, cleaning, and validating multi-source data (Excel, SQL) to developing automated dashboards using Tableau and Google Apps Script. I specialize in converting complex datasets into actionable insights that influence strategic business decisions.I bring a unique combination of hands-on technical expertise and strategic leadership in analytics. My strengths include data transformation, visualization, predictive modeling, and automation. I have led multiple initiatives involving cross-functional collaboration, development of scalable solutions, and implementation of process improvements across enterprise systems.
Experience
Deputy General Manager
Apr 2025 — Present · Noida, IN
Analyzed business performance across key metrics such as merchant activity, transactions, and revenue to identify trends and growth opportunitiesDeveloped and maintained dashboards and reports to track performance and support data-driven decision-makingSegmented merchants into different cohorts to understand behavior patterns, retention, and engagement levelsCollaborated with cross-functional teams to deliver insights and improve overall business performance and processes
Education
Punjab Technical University
Bachelor's Degree, Bachelor of computer application
2011 — 2013
IMT CDL Ghaziabad
Executive MBA, Business Analytics
Skills
- Digital Marketing
- Private Sector
- Public Affairs
- Public Sector
- International Trade
- Government
- Strategic Communications
- E-Commerce
- Team Management
- Vendor Management
- Management
- Sales
- Microsoft Office
- Operations Management
- Competitive Analysis
- Data Analysis
- Supply Chain Operations
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