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Senior Data Analysis with 3+ years in business intelligence and operational analytics
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Data Analyst with 3.5+ years at Amazon operating at the intersection of business intelligence and operational analytics. Writes SQL to uncover failure patterns, builds end-to-end KPI dashboards in Power BI and Excel, and applies root cause analysis to eliminate systemic inefficiencies. Delivered a 40% reduction in non-value-added tickets, 10-15% fewer repeat contacts, and 20-30% faster case resolution. Skilled in Python (NumPy, Pandas, Matplotlib), ETL pipelines, and EDA, with a track record of translating raw operational data into stakeholder-ready insights.
Asutosh College
Bachelor of Science · Microbiology
August 1, 2014 – June 1, 2017
Amazon
SPS Associate - Analytics & Operations
July 1, 2022 – Present
Kolkata, West Bengal, India
Credit Card Revenue Analytics Dashboard
June 21, 2026 – Present
Built a Power BI dashboard analyzing $57M+ revenue across 667K transactions using SQL and Python; revealed customers aged 40-60 and Business/White-collar segments drove 50% of total revenue, directly informing portfolio personalization strategy. Identified Swipe transactions as 63% of revenue via payment-mode pattern analysis, delivering data-backed recommendations to optimize card treatment decisions.
View ProjectRetail Sales & Customer Segmentation Analysis
June 21, 2026 – Present
Developed a customer segmentation dashboard across 3,900+ records; surfaced that the top 20% of customers generated 78% of revenue and peak 4 hours drove 42% of daily revenue, enabling data-driven marketing prioritization. Applied 90-day SQL inactivity analysis to flag 25% of customers as churn-risk and quantified repeat customers at 2.6× higher lifetime value, providing a retention-focused decision framework.
View ProjectCustomer Behavior Analysis
June 21, 2026 – Present
Engineered an end-to-end Python ETL pipeline (Jupyter, Pandas) on 3,900 customer records — imputing missing review ratings via category-wise medians, deriving age-group bins, and loading the cleaned dataset into MySQL for downstream analytics. Authored 10 SQL business queries and a Power BI executive dashboard surfacing that 80% of customers are Loyal buyers, Clothing drives 44.7% of $233K revenue, and 73% of customers remain unsubscribed — flagging a ~$17K recurring-revenue uplift from converting just 10% of non-subscribers.
View ProjectComplete MySQL Bootcamp
Unknown
June 1, 2026 – Present
Python for Data Science, AI & Development
Unknown
June 1, 2026 – Present
Data Visualization With Power BI
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Amazon, a large tech company, suggests an ability to thrive in a fast-paced, data-driven environment. Their personal projects demonstrate initiative and a passion for data analysis beyond their primary role, indicating a proactive and continuous learning mindset. The diversity of projects (credit card, retail sales, customer behavior) shows a broad interest in applying data analysis across different business domains, which aligns well with roles requiring versatility.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving capabilities through root cause analysis, and effective stakeholder communication as evidenced by their ability to translate findings into actionable insights and deliver performance reports to senior leadership. Their project work also highlights a results-oriented approach and cross-functional collaboration.