Hemanth Chandra
Data Analyst | BI Analyst | Power BI, SQL & Python | Enterprise Reporting & Analytics | ETL | Azure | Snowflake
- Role
- Data Analyst at Novartis
- Location
- Minneapolis, MN, US
- LinkedIn followers
- 500 followers
About Hemanth Chandra
Data Analyst and BI Analyst with 6+ years of experience translating complex enterprise datasets into actionable business insights across Finance, Operations, HR, and Payroll domains. I specialize in building scalable Power BI and Tableau dashboards, automating ETL pipelines via Azure Data Factory, and writing advanced SQL and Python to power reporting for record environments. Currently contributing at Novartis; previously at Capital One and TCS. Core Tools: Power BI (DAX, Dataflows) · Tableau · SQL Server · Python (Pandas, NumPy) · Azure Synapse · Snowflake · BigQuery · dbt · AWS (S3, Glue, Athena) · Jira · Git Open to C2C contract opportunities — Data Analyst / BI Analyst / Reporting Analyst roles (Remote or Hybrid). h••••••••@gmail.com | Minneapolis, MN
Experience
Data Analyst
Mar 2024 — Present · East Hanover, NJ, US
At Novartis, I work at the intersection of enterprise data and business intelligence, translating large-scale operational, workforce, and financial datasets into analytics products that senior leadership and cross-functional teams rely on daily. Designed and maintained enterprise Power BI and Tableau dashboards that track workforce, compensation, operational, and financial metrics for business stakeholders across the organization. Authored advanced DAX measures, calculated columns, and Power BI Dataflows to enable self-service analytics for Finance and Operations teams, reducing ad-hoc reporting requests by 35%. Built and optimized ETL pipelines using Azure Data Factory to ingest and transform data from multiple business systems into Azure Synapse Analytics, improving reporting freshness by 40%. Developed complex SQL queries and Python scripts using Pandas and NumPy to extract, clean, and transform large datasets from SQL Server and cloud sources supporting reporting across records. Collaborated with data engineering and IT teams on Snowflake cloud data warehouse initiatives, contributing to data model design, ETL testing, and UAT for migrated reporting environments. Implemented data quality validation and reconciliation processes that improved downstream data accuracy by 25% and automated recurring reporting workflows that eliminated over 30 hours of manual effort per month. Delivered analytics across Agile sprint cycles, managing user stories and backlog in Jira and presenting deliverables to cross-functional stakeholders in bi-weekly sprint reviews.
Education
Sri Indu College Of Engineering & Technology
Bachelor of Technology, Information Technology
Concordia University-St. Paul
Master's Degree, Computer/Information Technology Administration and Management
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