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Niveditha Bathini

Jr People Data Analyst • Boston, Massachusetts, United States • n*****************@gmail.com • 573****051 • linkedin/•••••

Professional Summary

Detail-oriented People Data Analyst with 5+ years of hands-on experience in data preparation, reporting, dashboarding, and data quality across healthcare, banking, and retail domains. Strong SQL, Python (Pandas), Power BI, Tableau, Excel, and Snowflake experience with a track record of automating recurring workflows, resolving reporting discrepancies, and delivering actionable analytics to cross-functional stakeholders. Seeking a People Analytics / HR Data role where I can apply BI, data validation, and reporting automation skills to improve HR reporting accuracy and operational decision-making.

Technical Skills

Programming Languages: Python,R
Frameworks and Libraries: Pandas,NumPy
Databases: SQL,Oracle,SQL Server,PostgreSQL,Snowflake,AWS Redshift
Cloud and DevOps: AWS,AWS Athena
Testing: Data Profiling,Data Reconciliation,Anomaly Detection,Data Standardization
Data and Analytics: Power BI,Tableau,Excel,KPI Reporting,Ad-hoc Reporting
Tools and Methodologies: Git,GitHub,JIRA,Agile,Stakeholder Management,Requirements Gathering
ETL & Integration: SSIS,Data Extraction,Data Transformation
Version Control & Collaboration: ServiceNow,SharePoint

Work Experience

Humana
Louisville, KY
Senior Data Analyst
Feb 2025 – Present
Tech Stack: SQL, Snowflake, AWS Redshift, Python, Pandas, Tableau, Excel, Git, GitHub, JIRA, Data Reconciliation, Anomaly Detection
  • Prepared recurring healthcare reporting datasets by extracting and transforming large-scale data in Snowflake and Redshift using SQL and Python, delivering timely standard reports to operations and business stakeholders to support daily decision-making.
  • Wrote and optimized complex SQL queries (joins, CTEs, window functions) to improve extraction and transformation performance, improving report reliability and lowering query runtime for large datasets.
  • Maintained and validated Tableau dashboards and metrics definitions, troubleshooting discrepancies and collaborating with downstream teams to ensure reporting outputs remained accurate and actionable.
  • Conducted scheduled data quality audits and reconciliations across multiple sources to detect anomalies and correct data issues, improving reporting integrity and stakeholder confidence in KPIs.
  • Automated recurring data cleansing and report generation workflows using Python and Pandas, reducing manual effort and accelerating turnaround for frequent ad hoc and recurring requests.
  • Collaborated with cross-functional stakeholders and tracked work in JIRA while managing code and ETL artifacts in Git/GitHub; documented transformation logic and supported deployment handoffs.
Truist Financial
Charlotte, NC
Data Analyst
Aug 2021 – Nov 2023
Tech Stack: SQL, SQL Server, Power BI, Excel, Python, SSIS, ServiceNow, Git, GitHub, Agile
  • Partnered with finance and risk stakeholders to gather requirements and deliver tailored analytics and reports that supported operational and compliance decision-making.
  • Authored SQL queries and stored procedures in SQL Server to extract, transform, and prepare datasets for executive reporting and trend analysis used in monthly and quarterly reviews.
  • Designed, built, and maintained Power BI dashboards and scorecards to visualize key financial and risk metrics, ensuring data accuracy and timely refreshes for business users.
  • Performed routine data quality checks, reconciliations, and root cause analysis to identify discrepancies and implement process improvements that strengthened reporting controls.
  • Produced executive reporting packages in Excel using PivotTables and Power Query to standardize recurring workflows and streamline distribution to leadership.
  • Implemented ETL tasks using SSIS and maintained issue tracking via ServiceNow while collaborating with teams in an Agile environment and managing code in Git/GitHub.
Sam's Club
Bentonville, AR
Junior Data Analyst
Feb 2020 – Jul 2021
Tech Stack: SQL, Oracle, Excel, Power BI, Tableau, SharePoint, Git, GitHub, Agile
  • Compiled and delivered recurring retail reports and responded to ad hoc data requests from merchandising and business teams to support daily operational decisions.
  • Used SQL against Oracle databases to extract sales, customer, and product data for weekly and monthly reporting cycles and baseline analyses.
  • Validated, standardized, and de-duplicated datasets to improve data consistency and strengthen the accuracy of downstream reports.
  • Designed Excel dashboards with PivotTables, charts, and lookup functions to track performance metrics and provide operational insights to stakeholders.
  • Generated KPI reports and analyzed seasonal and promotional patterns to identify trends and inform merchandising strategies.
  • Documented data definitions, maintained report schedules in SharePoint, and used Git/GitHub for version control to ensure reproducible reporting processes.

Education

Missouri University of Science and Technology
Master of Science in Information Science and Technology • Rolla, MO • Jan 2024 – Dec 2025

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