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Data Analyst with 6+ years in Analytics, Visualization & SQL
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Assessing your cultural and operational fit
Data Analyst with 6+ years of experience delivering decision-driven analytics across Finance, E-commerce, and Loyalty domains. Specialized in transforming raw data into executive dashboards, automated reporting systems, and predictive insights that improve revenue, retention, and operational efficiency. Strong partner to business stakeholders, enabling faster and data-backed strategic decisions through scalable BI solutions.
University of Madras
MBA · Human Resources
August 1, 2020 – June 30, 2022
DRBCCC Hindu College
B.Sc. · Computer Science
August 1, 2016 – June 30, 2019
Infosys
Data Analyst
July 1, 2019 – January 1, 2026
Chennai, Tamil Nadu, India
Loyalty & Engagement Analytics
January 1, 2024 – January 1, 2026
Engineered a data analytics to analyze customer engagement, predict churn, and AI-driven insight generation to improve loyalty program performance. Highlights: • Developed a loyalty program analytics dashboard to monitor engagement, redemption, and campaign ROI. • Built scalable ETL pipelines to standardize multi-source customer data into analytics-ready SQL layers. • Delivered executive dashboards using Power BI, providing near real-time visibility into program performance. • Partnered with stakeholders to identify underperforming segments & recommend targeted interventions. • Implemented AI-assisted analysis for automated trend identification and proactive churn signals. • Contributed 15% improvement in customer engagement through continuous performance monitoring & insight delivery. Workflow: Data Ingestion → ETL Processing→ SQL Integration → Power BI Dashboarding → Insight & GenAI-Driven Reporting
E-Commerce Sales & Forecasting Analytics
August 1, 2021 – December 1, 2023
Developed and deployed an end-to-end analytics and forecasting solution to optimize sales performance, customer targeting, and inventory planning using data-driven insights. Highlights: • Delivered business intelligence solutions to monitor revenue, category performance, and regional demand patterns. • Developed a centralized analytics environment by integrating ERP and CRM datasets into a SQL warehouse. • Built interactive dashboards adopted by sales and operations teams for weekly and monthly reviews. • Enabled pricing and inventory optimization through trend and seasonality analysis. • Automated large-scale data preparation using Python, reducing manual effort by 30% and improving data reliability. Workflow: Data Extraction → Data Cleansing (Python & SQL) → SQL Warehouse → Dashboards → Business Reporting
Financial Performance & PMO Analytics
July 1, 2019 – June 1, 2021
Developed financial governance dashboards tracking budget utilization, forecast accuracy, and project health metrics. • Produced variance and deviation analysis (Planned vs Actual) to highlight financial risks and overspend areas. • Led automation of recurring PMO reports, improving turnaround time by 25% and enhancing leadership visibility. • Collaborated with finance and delivery stakeholders to ensure consistency across operational and financial data.
Cultural Fit Analysis
The candidate's project diversity across SaaS Loyalty, E-commerce, and Financial Performance domains suggests a broad interest and adaptability, which aligns well with dynamic organizational cultures. Their focus on delivering decision-driven analytics and improving operational efficiency indicates a results-oriented mindset. The emphasis on stakeholder collaboration and delivering scalable BI solutions points to a team-oriented and impactful approach, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and cross-functional collaboration skills, which are crucial for a senior Data Analyst role. Their experience in partnering with stakeholders to identify underperforming segments and recommend targeted interventions, as well as collaborating with finance and delivery teams, indicates a strong operational fit and ability to drive data-backed decisions.