Open to opportunities

Sai Prasanth

@saiprasanth

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Senior BI Data Analyst skilled in SQL, Python, cloud data platforms, and interactive analytics.

United States

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What I'm looking for

I seek a data-focused role where I can build scalable analytics and ETL pipelines, deliver actionable BI, work with cloud data platforms, and collaborate cross-functionally for measurable impact.

I am a Senior BI Data Analyst with deep experience designing ETL/ELT pipelines, data models, and predictive analytics using SQL, Python, Snowflake, and cloud platforms to drive business insights and operational improvements.

I have built and automated dashboards and reporting solutions in Tableau and Power BI, reduced reporting time and latency, and implemented data quality controls and governance across BI environments.

I partner with cross-functional stakeholders to translate requirements into actionable analytics, present findings to non-technical audiences, and deliver measurable impact such as faster decision-making and error resolution.

Experience

Work history, roles, and key accomplishments

Current

Senior BI Data Analyst

Current

Barclays Bank

Jun 2024 - Present (1 year 4 months)

Designed and optimized ELT pipelines and dimensional models in Snowflake and SQL, built predictive models and NLP solutions in Python, and delivered Tableau/Looker dashboards that increased decision-making speed by 30%.

SQL Python Snowflake Tableau)Looker ELT NLP

BI Data Analyst

Mayo Clinic

Jan 2023 - Jun 2024 (1 year 5 months)

Designed and automated Tableau and Power BI reports, automating 15+ daily reports to reduce generation time by 40% and improved Snowflake query performance by 45% to support clinical quality initiatives.

Power BI Tableau)SQL Snowflake Alteryx Data Automation Root Cause Analysis

Power BI Developer

DXC Technology

Jun 2019 - Aug 2022 (3 years 2 months)

Designed and deployed interactive Power BI dashboards and data models, implementing DAX, RLS, and automated ETL workflows to improve KPI visibility and reduce reporting effort by 30%.