Sagar Shetty

MBA graduate · Business Analyst

Karnataka, India

@sagar_shetty

0 followers

About

MBA professional transitioning into Business Analysis with 4+ years of cross-functional experience in operations, logistics, admissions, and business development. Skilled in SQL, Excel, Power BI, and Tableau for data analysis, KPI reporting, dashboard development, and business performance analysis.

Experience

Vendor Analyst

Flipkart Vendorship

Mar 2024 – Aug 2026

Maintained and validated shipment assignment, delivery, and undelivered records to support operational reporting and data accuracy. Monitored store-level KPIs and analyzed actual performance against daily targets to identify performance gaps and operational issues. Prepared and published daily MIS and KPI reports to support operational analysis, stakeholder reporting, and data-driven decision-making. Analyzed logistics and delivery data to identify process bottlenecks, supply issues, and delivery performance gaps.
Admission Officer

U-Next

Jan 2023 – Feb 2024

Managed the end-to-end student admissions process from enquiry handling through enrolment while working toward monthly business targets. Analyzed student enrolment and course-sales data to identify factors influencing enrolment decisions, customer behavior, and business performance. Used historical enrolment data and referral patterns to identify trends and support improvements in future enrolment strategies. Coordinated with applicants and parents to understand requirements, address queries, and support appropriate course recommendations.
Business Development Associate

Byju's

Apr 2021 – Oct 2022

Maintained and analyzed customer records to support qualified referrals and improve sales-pipeline visibility and reporting. Converted prospect data into structured leads for sales pipeline tracking, analysis, and reporting. Analyzed client requirements and specifications to recommend suitable solutions and communicate commercial implications. Managed end-to-end client engagement from counselling through direct-sales closing, strengthening stakeholder communication and requirement-understanding skills.
Team Leader

Flipkart

Jul 2019 – Apr 2020

Maintained records for onboarded stores and tracked daily delivery performance using assigned-versus-delivered KPIs. Monitored store-level operational performance and analyzed achievement against daily targets to identify performance gaps. Prepared and published daily performance reports to support KPI monitoring, operational analysis, and decision-making. Analyzed logistics and delivery data to identify supply and delivery issues affecting operational performance.

Education

2019

Master of Business Administration

A.J. Institute of Management

Jul 2017 – Jul 2019

Jul 2017 – Jul 2019
2017

Bachelor of Commerce

Crossland College

Jun 2014 – Aug 2017

Jun 2014 – Aug 2017

Skills

5 to 8 years

Data Analysis

2 to 5 years

KPI Analysis Data validation Business Reporting

<3 months

SQL Power Pivot Gap Analysis Data Cleaning KPI reporting Microsoft Excel Process analysis Data Visualization Root Cause Analysis Process Improvement Dashboard Development Requirements Analysis Business performance analysis

Tools / apps / platforms

<3 months

MySQL MongoDB Tableau Power Query Microsoft Excel Microsoft Power BI Microsoft SQL Server

Projects

Retail Sales Analysis Dashboard

Power BI, SQL

Used SQL to prepare and query sales data, then developed a Power BI dashboard to visualize category-wise sales contribution and performance. Delivered a clear visual breakdown of sales performance by product category to support business reporting and data-driven analysis.
Amazon Sales Performance Dashboard

Tableau

Built an interactive Tableau storyboard analyzing country-wise revenue, region-wise profit, sales-channel contribution, and year-wise profit trends. Combined multiple worksheets into a single dashboard to support comparative business analysis, KPI reporting, and performance insights.
Netflix Content Analysis

SQL, SQL Server

Analyzed a Netflix titles-and-credits dataset using SQL to identify content and viewership-related trends and business insights. Queried top- and bottom-rated movies and shows by IMDb score and analyzed content volume by decade and genre. Calculated average IMDb and TMDB scores by production country and age certification to support comparative analysis. Identified the most-featured actors and directors and analyzed average runtime by content type using joins, aggregations, and TOP-N ranking queries.

Courses & certifications

Diploma in Computer Applications · Manipal Institute of Computer Education
Microsoft Excel · Learnbay
Tableau & Power BI · Learnbay
SQL · Learnbay

Explore the Broxer community

💬 Q&A Ask about roles, salaries and interviews — and help others. 👥 Circles Join discussions on skills, companies and industries. 📰 Feed Follow updates and insights from the community.