Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
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Sreelekha K

Summary

Senior Business Intelligence and Analytics professional with 6+ years of experience building scalable data models, data pipelines, and self-service BI solutions in fast-paced, data-driven organizations. Proven ability to establish a single source of truth, define and operationalize KPIs, and translate complex technical data into actionable insights. Strong expertise in SQL, Python, cloud data warehouses, and BI platforms, with a collaborative approach to partnering across Product, Engineering, Revenue, Finance, and Customer Success teams.

Overview

8
8
years of professional experience

Work History

Senior Business Data Analyst

Intuit Inc.
04.2025 - Current
  • Built and maintained scalable BI dashboards and analytical data models supporting product, revenue, and operational decision-making.
  • Developed optimized SQL pipelines integrating platform, CRM, and financial data to ensure accuracy and reliability.
  • Partnered with Product, Finance, and Customer Success leaders to define KPIs and proactively surface trends, anomalies, and insights.
  • Translated complex technical findings into clear, actionable insights for executive and non-technical stakeholders.
  • Automated recurring reporting using Power BI and SQL, reducing manual reporting effort by 45%.
  • Ensured consistent metric definitions and strong data quality through validation and governance practices.

Sr. Business Intelligence Analyst

Genpact LLC
08.2022 - 03.2025
  • Designed Snowflake-backed analytical data models serving as a trusted source of truth for operational and revenue reporting.
  • Refactored and optimized existing data pipelines to improve scalability, performance, and reliability.
  • Developed KPIs in collaboration with Product, Delivery, Finance, and Revenue teams to support strategic decisions.
  • Created intuitive Power BI and Tableau dashboards enabling self-service analytics for non-technical users.
  • Performed deep-dive analyses to quantify customer value, operational efficiency, and performance trends.
  • Recommended improvements to BI processes, data governance, and warehouse architecture to support company growth.

BI / SQL Analyst

IBM
06.2018 - 06.2019
  • Developed SQL-based data models and enterprise reports supporting operational and financial analytics.
  • Built dashboards and visualizations tracking KPIs and business performance.
  • Validated and cleansed large datasets to ensure accuracy and trust in reporting.
  • Collaborated with engineering and business teams to translate analytics requirements into scalable BI solutions.

Education

Master’s - Data Science

University of Alabama at Birmingham

Bachelor’s - Computer Science

JNTUH College of Engineering

Skills

  • Advanced SQL (CTEs, Window Functions, Performance Optimization)
  • Python for Data Analysis and Automation
  • Data Modeling & Warehousing (Snowflake, Redshift, Fabric)
  • ETL & Data Pipelines (SQL, Power Query, Matillion exposure)
  • Business Intelligence Tools: Power BI, Tableau, Looker, Sisense (familiar)
  • KPI Development
  • Metrics Standardization
  • Data Governance
  • Dashboard Automation & Self-Service Analytics
  • Data Validation
  • Quality Checks
  • Monitoring
  • Cross-Functional Stakeholder Collaboration
  • Operational Analytics
  • Product Analytics
  • Revenue Analytics

Accomplishments

  • Delivered 40+ production dashboards enabling data-driven decision-making across leadership and operations.
  • Improved data reliability and trust through pipeline optimization and validation.
  • Reduced manual reporting effort by 45% through automation and self-service BI solutions.
  • Established standardized KPI definitions adopted across multiple business functions.
  • Recognized for strong analytical thinking and clear communication of complex insights.

Timeline

Senior Business Data Analyst

Intuit Inc.
04.2025 - Current

Sr. Business Intelligence Analyst

Genpact LLC
08.2022 - 03.2025

BI / SQL Analyst

IBM
06.2018 - 06.2019

Master’s - Data Science

University of Alabama at Birmingham

Bachelor’s - Computer Science

JNTUH College of Engineering
Sreelekha K