Skip to main content
Pooja Babu

Pooja Babu

Senior Business Data Analyst

Talent
Cleveland, OHMember since June 25, 2026
SQLPostgreSQLPythonPower BITableauDBTSnowflakeData ModelingAWSDockerKubernetes
·

Hire this person

Send a job offer directly to this candidate

SQLPostgreSQLPythonPower BITableau

About

Results-driven Senior Business Data Analyst with 5+ years of experience delivering enterprise-scale analytics, business intelligence, and data engineering solutions across technology and consulting environments. Expertise in SQL, Python, Power BI, Tableau, Snowflake, AWS, BigQuery, Airflow, and DBT to build scalable data platforms, automated pipelines, and executive dashboards. Proven track record of transforming complex business requirements into data-driven solutions that improve operational efficiency, reporting accuracy, and strategic decision-making.

Experienced in designing KPI frameworks, predictive models, and cloud-based data warehouses while ensuring data quality and governance. Strong collaborator with a history of partnering with executive stakeholders, leading cross-functional initiatives, and mentoring analytics teams to drive measurable business outcomes.

Experience

Business Data Analyst at Cisco (2026-03 – Present)

  • Took full ownership of analytics projects for multiple business units, from initial requirements through building databases, creating pipelines, and deploying dashboards.
  • Built a Power BI reporting platform that consolidated scattered reports from 6 departments into one place, with proper security and dynamic calculations. This cut ad-hoc report requests in half and gave stakeholders faster access to the data they needed.
  • Designed and built a scalable data warehouse using Snowflake and AWS Redshift with a layered architecture (Bronze/Silver/Gold). It handles billions of rows and delivers query results in under a second.
  • Automated the data pipeline using Airflow and DBT, with built-in quality checks and alerts. This eliminated most of the manual data work and got us from hitting SLAs 72% of the time to 97%.
  • Ran A/B tests and analyzed customer retention patterns to identify why people were leaving. Presented findings to the product team that actually made it into the roadmap decisions.
  • Mentor three analysts on the team, doing code reviews and setting standards for how we write SQL and Python. Help them improve their Modeling and dashboard skills.
  • Work directly with VP-level stakeholders to plan analytics work, set priorities, and present findings in quarterly reviews.

Business Data Analyst at Accenture (2022-01 – 2024-12)

  • Designed and delivered analytics projects for clients in retail, finance, and operations. Managed expectations, timelines, and scope without needing oversight from senior people.
  • Worked with large datasets (500K+ records) using SQL and Python to find trends, spot problems, and prepare clear findings for leadership.
  • Built Power BI and Tableau dashboards for 200+ users across multiple clients. These let business people find answers themselves instead of waiting for reports—saved about 40% of reporting time.
  • Built data pipelines that pulled from 8+ different sources and consolidated them into Snowflake and BigQuery. Documented the data lineage so people knew where everything came from.
  • Created KPI frameworks and scorecard dashboards that became what leadership used to make quarterly planning and budget decisions.
  • Dug into operational problems to find bottlenecks, which led to about 20% improvements in process efficiency for clients.
  • Participated in sprint planning and reviews. Wrote clear documentation of data definitions and structure so other people could understand and use the data correctly.

Junior Data Analyst at Hexaware Technologies (2020-01 – 2021-12)

  • Converted old Excel reports into automated Power BI dashboards for sales, customers, and operations. Cut manual reporting work by 30%.
  • Cleaned and validated datasets with 100K+ records using Python and SQL. Built data quality checks that the team still uses.
  • Analyzed data to find patterns and opportunities, then presented clear findings to stakeholders.
  • Worked with senior analysts to design dashboards and iterate based on feedback. Got a good view of how full analytics projects work from start to finish.

Education

Master of Science in Data Science – Lindsey Wilson University (2026-03)

Master of Science in Business Analytics – Kent State University (2025-01 – 2025-12)

Bachelor of Commerce – R C College of Commerce and Management (2018-06 – 2021-05)

Skills

Senior Business Data Analyst

Reviews

Related