HARSHA VERMA
BUSINESS & DATA ANALYTICS
Delhi,DL
Summary
Results-driven professional with more than three years of experience in sales performance analysis and business reporting. Proficient in leveraging SQL, Python, Power BI, and Tableau to extract actionable insights, monitor key performance indicators, and facilitate data-driven decision-making. Eager to contribute analytical expertise in Data Analyst, Business Analyst, or Sales Analyst roles to drive organizational success and enhance strategic initiatives. Committed to continuous learning and adapting to evolving industry trends to deliver impactful results.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Sales Manager- Business & Data Analytics
DEUTSCHE BANK AG
Delhi
07.2024 - 05.2025
- Managed and analyzed an assigned customer portfolio, maintaining a 95% retention rate through performance tracking and engagement analysis.
- Extracted and analyzed customer data using CRM tools to monitor sales performance, pipeline movement, and funnel efficiency, identified conversion gaps and improved lead-to-conversion rates by 8-12%.
- Performed customer segmentation using transaction behavior, AUM, and engagement metrics to identify cross-sell and upsell opportunities, contributing to a 20% increase in targeted product sales.
- Designed interactive Power BI dashboards to track AUM, revenue trends, product performance, and customer engagement KPIs for performance monitoring and strategic decision-making.
- Utilized SQL for data extraction and validation, and applied Python (Pandas, EDA) for exploratory analysis and insight generation to support business recommendations.
- Presented structured analytical reports and insights in weekly performance reviews, supporting pricing, targeting, and revenue strategy decisions (recognized by senior leadership).
- Collaborated with cross-functional teams to translate data insights into actionable revenue and engagement initiatives.
Sales Analytics
ADITYA BIRLA CAPITAL
Delhi
10.2021 - 07.2024
- Developed dashboards for sales & targets tracking weekly & monthly KPI's for insurance products using Power BI.
- Analyzed customer data sets to identify trends, gaps and cross sell opportunities leads to increase in revenue by 15%.
- Conducted product performance analysis in collaboration with National Sales leadership, identifying improvement areas and driving a 12% uplift in low-performing products.
- Leveraged CRM tools & techniques for sales funnel analysis leading to 10% increase in lead conversion rate.
- Gathered requirement from Business partner and translated business needs into structured MIS reports, KPI dashboards (Excel & BI tools).
- Collaborated with Operations, Compliance, and Underwriting teams to convert business requirements into actionable analytical outputs.
Education
Certificate - Data Analytics With Generative AI
Imarticus Learning
01-2026
PGDM - Marketing & HR
Asian Business School
05-2021
Bachelors of Science -
Delhi University
05-2016
Skills
- SQL
- Python
- Power BI
- Tableau
- Advanced Excel
- CRM Analytics
- Predictive Modelling
- Data Analysis
- Business Analysis
- Sales Analytics
- Stakeholder Communication
- Cross-functional Collaboration
- Data Storytelling
- Strategic Decision Support
- Process Improvement
- Requirement Gathering
Certification
- Certification in Business Analysis - NIIT
- Executive Diploma in International Business - Oxford Business School, London (UK)
- Data Analysis with Python - IBM
- Data Visualization with Python - IBM
- Generative AI for Business Professionals - IBM
Work Preference
Work Type
Full TimeGig WorkPart TimeLocation Preference
RemoteOn-SiteHybridTimeline
Sales Manager- Business & Data Analytics
DEUTSCHE BANK AG
07.2024 - 05.2025
Sales Analytics
ADITYA BIRLA CAPITAL
10.2021 - 07.2024
Certificate - Data Analytics With Generative AI
Imarticus Learning
PGDM - Marketing & HR
Asian Business School
Bachelors of Science -
Delhi University
Projects
Predict Fare Estimation of Future Rides Using Regression Model
- Built a regression-based model predicting ride fares using historical trip data.
- Performed data cleaning, feature engineering, and exploratory analysis to identify key pricing drivers.
- Evaluated model performance and presented insights through visualizations and summary reports.