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Sreeshma Valsan

@sreeshmavalsan

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Data analyst and analytics consultant specializing in SQL, ETL monitoring, and Power BI semantic layer modeling.

United States

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What I'm looking for

I’m looking for a role where I can build trusted datasets and Power BI dashboards, partner with engineering in Agile, and own SQL/ETL monitoring and semantic layer modeling to drive faster, more accurate decision-making.

I’m a data analyst with 5 years of experience in enterprise consulting and analytics at EY (Ernst and Young), specializing in SQL development, ETL monitoring, and semantic layer modeling. I’ve queried and validated large datasets in enterprise data warehouse environments using strong data quality assurance to ensure accurate and timely data availability for 50,000+ employees.

I design and optimize Power BI datasets and dashboards using Power Query and DAX—creating 20+ dashboards for revenue forecasting, scenario modeling, and M&A analyses. I also partner across engineering, data science, QA, product, and change management (Agile Scrum) to resolve data load issues, automate monitoring and anomaly detection, and streamline reporting that improves forecast accuracy and reduces reporting time.

Experience

Work history, roles, and key accomplishments

Senior Consultant, Data Analyst

Ernst & Young

Aug 2021 - Sep 2024 (3 years 1 month)

Queried and validated large enterprise datasets in SQL and MongoDB, applying data quality assurance to ensure accurate and timely availability for 50,000+ employees. Monitored Talend ETL workflows and built star/snowflake warehouse models achieving 100% load accuracy, and delivered 20+ Power BI dashboards that reduced reporting time by 60% and improved forecast accuracy by 97%.

SQL MongoDB Talend Power BI Power Query DAX Data Quality Assurance

Change Implementation Analyst

Ernst & Young

Jun 2019 - Aug 2021 (2 years 2 months)

Queried MySQL and SQL datasets using Excel and Power Query to wrangle and analyze clinical data, troubleshooting system issues to support 50+ U.S. healthcare clients and improve system reliability. Partnered with clinical stakeholders to design streamlined workflows and execute end-to-end Oracle Cerner implementations, reducing implementation time and increasing stakeholder satisfaction.