Soumili Nag

Data professional with 5 years of experience across data quality assurance, data operations, ETL automation, and analytics engineering. Skilled in building and validating large-scale data pipelines, enforcing data quality and governance standards, and designing SQL-based data models that power executive dashboards and analytics. Proven track record of improving data accuracy, reducing pipeline processing time, and standardizing validation frameworks across fintech, consulting, and enterprise IT environments.

Comfortable owning data end-to-end — from ingestion and cleansing to modeling, monitoring, and stakeholder-ready reporting.

Data Analyst – Associate 2 at PricewaterhouseCoopers (PwC) (2025-07 – Present)

• Owned data quality checks on 5M+ records monthly using advanced SQL and Python, detecting anomalies and inconsistencies before they reached senior stakeholders and downstream KPI reporting.
• Automated ETL pipelines for data extraction, cleaning, and transformation, cutting processing time by 30% and improving data quality and reliability across pipelines.
• Built real-time Power BI and Tableau dashboards on validated datasets, reducing manual reporting effort by 30% and enabling self-serve, trustworthy insights for leadership.
• Conducted time-series trend analysis and root-cause investigations, translating data quality findings into strategic business recommendations.
• Promoted Associate 1 → Associate 2 within 12 months for measurable analytical impact, cross-functional collaboration, and leadership.

Data Analyst – Associate 1 at PricewaterhouseCoopers (PwC) (2024-07 – 2025-06)

• Improved analytical model precision by 15% by redesigning data quality workflows and implementing enhanced validation checks across multi-million-row datasets.
• Designed and executed SQL and Python analysis using window functions, CTEs, and statistical outlier detection to surface data integrity issues and high-signal patterns.
• Built self-serve Power BI and Tableau dashboards, reducing ad-hoc report requests by 40% for non-technical senior stakeholders.
• Mentored 3 junior analysts on SQL, data validation, dashboarding, and data investigation best practices, improving team-wide data quality standards.

Data Analyst – Behavioural & Transaction Intelligence at Revolut (2023-12 – 2024-06)

• Performed end-to-end SQL and Python EDA and data quality checks on high-volume fintech transaction datasets to detect anomalous behavioural patterns and data inconsistencies at scale.
• Improved model precision by 20% by iterating on data-driven scoring and validation rules; delivered structured analytical reports to product and operations stakeholders.

Data Analyst – Associate Analyst I at AML RightSource (2023-01 – 2023-11)

• Applied risk-based data quality methodologies to segment, classify, and validate structured and unstructured datasets, achieving 100% data quality accuracy in audits.
• Led data migration and database cleansing initiatives, improving downstream data pipeline quality and reducing noise in analytical workflows.

Database & Data Systems Administrator at ITC Infotech (2021-05 – 2022-05)

• Managed relational databases and enterprise data systems, maintaining 99% uptime while monitoring system logs to detect performance anomalies and data integrity issues — foundational experience in data operations.
• Supported data migration, cleansing, and system upgrades, improving pipeline reliability and building core data infrastructure expertise.

M.Com in Accounting & Finance Management – University of Calcutta (2022)

B.Com in Accounts & Cost Management – Heramba Chandra College (2020)