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Associate Data Analyst with 1+ years in last-mile logistics and data analysis.
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Assessing your cultural and operational fit
Data Analyst with experience in last-mile logistics and hyperlocal operations at Flipkart. Skilled in data analysis, KPI tracking, dashboarding, and reporting using SQL, Python, and Excel. Track record of analyzing cost, workforce, and performance metrics (CPO, EPH, NEPH, serviceability) to drive operational efficiency and data-driven decision-making.
Thakur College of Engineering & Technology
B.E., Electronics Engineering · Electronics Engineering
August 1, 2021 – June 30, 2024
Flipkart Minutes
Data Analyst
September 1, 2024 – Present
Bengaluru, Karnataka, India
ML & Predictive Modeling
July 1, 2023 – July 1, 2024
Built Linear Regression/ Tree models IoT-based seed-spreading and weed-detection system.
Data Analytics & BI
July 1, 2023 – May 1, 2024
Built Tableau dashboards for sales trend and Fitbit data analysis; used SQL for IPL dataset analysis and auction strategy design.
Data Analytics Core Skills: Tableau
Internshala
June 1, 2026 – Present
Data Analytics Core Skills: SQL
Internshala
June 1, 2026 – Present
Data Analytics Core Skills: Python
Internshala
June 1, 2026 – Present
Data Analytics Core Skills: Advanced Excel
Internshala
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and professional experience align well with a data-driven culture. The focus on operational efficiency, cost optimization, and performance tracking indicates a proactive and analytical mindset. The breadth of tools used (Python, SQL, Tableau, Excel) suggests adaptability and a willingness to learn. However, the experience is primarily in a single domain (logistics), which might limit exposure to diverse business problems, potentially impacting broader cultural fit in varied analytical environments.
Soft Skills & Operational Fit
The candidate's experience at Flipkart Minutes demonstrates an ability to manage complex operational data, track performance metrics, and contribute to strategic planning for cost optimization and capacity. This suggests a good fit for roles requiring analytical rigor and operational understanding. The detailed descriptions of responsibilities imply strong attention to detail and a results-oriented approach.