Akshit Sharma

Associate Analyst I – Business Intelligence & Reporting - AML RightSource

(2025-02)

Led data management operations for a 300+ analyst workforce across 2 projects as Analyst Lead, overseeing 3 Junior Analysts and ensuring accurate, timely reporting of production, quality, attendance metrics and many more.
Built an enterprise Power BI dashboard adopted by 300+ analysts on Project 1 and 120+ analysts on Project 2, integrating production, attendance, quality, and operational KPIs into a single self-service reporting layer.
Designed interactive Power BI dashboards for leadership and client stakeholders to support KPI monitoring, performance analysis, and data-driven decision-making across 420+ end users.
Automated 10+ daily, weekly, and monthly reports using Power BI, Power Query, Excel, and SQL, cutting per-report turnaround from roughly 3 hours to 30 minutes (~83% reduction in manual effort).
Conducted ongoing error trend analysis to identify root causes of quality defects, translating findings into actionable improvement recommendations that enhanced team accuracy.
Created analyst performance scorecards in Power BI, adopted by leadership to evaluate contributions, benchmark performance, and support structured appraisal and coaching processes for 300+ analysts.

Data Analyst - Konexions Backoffice Services Pvt. Ltd.

(2024-01 - 2025-02)

Spearheaded end-to-end fraud detection initiatives using SQL and SAS, analyzing large-scale transactional data to identify suspicious patterns and drive a 60% reduction in fraudulent activity.
Built Power BI dashboards and Excel reports to scrutinize transactions and visualize fraud metrics, achieving a 75% improvement in accurate identification and a 70% gain in detection accuracy.
Directed fraud prevention campaigns, identifying revenue leakage points through transactional data analysis and contributing to a 35% boost in profitability and a 68% increase in financial security.
Uncovered hidden patterns and anomalies in complex financial transactions using advanced analytical techniques, improving client financial stability by 30%.
Devised a fraud prevention strategy integrating SQL, SAS, Excel, and Power BI, resulting in a 75% improvement in financial ecosystem security and resilience.

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