Business Data Analyst with 4+ Years Experience

Keerthana Boorgula

BUSINESS DATA ANALYST

USA +1-940-***-**** Email: *********@***********.*** LinkedIn SUMMARY

Business Data Analyst with 4+ years of experience translating complex business requirements into scalable analytical solutions across enterprise environments. Skilled in SQL, Python, Power BI, Tableau, and advanced data modeling to drive KPI tracking, stakeholder reporting, and data- driven decision making. Proven ability to collaborate with cross-functional teams, streamline business processes, and deliver predictive insights that improve operational efficiency, reduce reporting cycles, and enhance strategic planning across finance, operations, and product domains. PROFESSIONAL EXPERIENCE

Business Data Analyst IBM USA June 2025 – Current

Collaborated with product owners, finance teams, and stakeholders to gather analytical requirements and deliver scalable Power BI dashboards and SQL reporting solutions, improving executive visibility and reducing manual reporting efforts by 40%.

Designed and optimized advanced SQL queries using window functions, CTEs, and aggregations to analyze enterprise datasets, improving reporting performance by 35% and enabling real-time KPI monitoring aligned with business objectives.

Built automated ETL workflows using Python, Airflow, and Azure Data Factory to streamline data ingestion and transformation, reducing data latency by 30% and improving data accuracy through automated validation and standardized logic.

Partnered with business leaders to perform root-cause analysis and identify performance bottlenecks using statistical analysis and predictive modeling, helping optimize workflows and increasing process efficiency by 22%.

Developed executive-level dashboards in Power BI and Tableau using advanced DAX calculations, enabling leadership to track revenue trends, engagement metrics, and operational KPIs while improving strategic planning cycles

Implemented data governance and data quality frameworks including automated validation checks, metadata tracking, and data lineage documentation, improving dataset reliability and ensuring compliance with enterprise reporting standards and audit requirements.

Conducted A/B testing and business experimentation analysis using Python and statistical modeling to evaluate feature adoption and product performance, delivering actionable insights that increased user engagement metrics by 18% across digital platforms.

Worked closely with Agile teams during sprint planning and backlog refinement sessions to define data requirements, ensuring analytics deliverables aligned with product roadmaps and reducing rework cycles by 25% through improved requirement clarity and collaboration.

Automated recurring business reports using Python scripts and scheduled workflows, eliminating manual Excel-based reporting processes and saving approximately 15 hours per week for analytics and operations teams while maintaining high reporting accuracy Business Data Analyst Accenture India Oct 2019 – Nov 2023

Gathered business requirements across finance and operations, creating BRD and FRD documentation and translating stakeholder needs into SQL datasets and Power BI dashboards that improved reporting transparency and supported data-driven decisions.

Developed scalable data models and optimized SQL pipelines across relational databases, reducing query time by 45% and enabling faster insights for forecasting, trend analysis, and operational planning.

Designed interactive Tableau and Power BI dashboards to visualize customer behavior, financial performance, and operational KPIs, improving executive reporting efficiency and helping leadership identify performance trends faster

Performed advanced analytics including cohort analysis, churn analysis, and customer segmentation using Python and statistical methods, supporting marketing and product teams with actionable insights that increased customer retention rates by 17%.

Collaborated with data engineering teams to build automated ETL pipelines using Airflow and cloud platforms, ensuring seamless data integration from multiple sources and improving data reliability across enterprise reporting systems.

Led stakeholder workshops and requirement discovery sessions to identify data gaps and process inefficiencies, delivering analytical recommendations that reduced reporting turnaround time by 28% while improving cross-team communication and alignment.

Implemented data validation frameworks and automated reconciliation checks to maintain high data quality standards, reducing reporting discrepancies by 30% and improving trust in analytical outputs among business users and senior management.

Supported Agile delivery cycles by participating in sprint planning, backlog prioritization, and retrospective meetings, ensuring analytics solutions aligned with evolving business priorities and delivered measurable outcomes within tight project timelines.

Built predictive forecasting models using regression analysis and time series techniques to support revenue planning and demand forecasting initiatives, improving forecast accuracy by 20% and enabling better financial decision-making across business units TECHNICAL SKILLS

Programming & Data Analysis: Python (Pandas, NumPy), SQL (CTEs, Window Functions), R, Advanced Excel, VBA

Data Visualization & BI Tools: Power BI, Tableau, Looker, KPI Dashboards, Executive Reporting, Storytelling with Data

Business Analysis & Methodologies: Requirements Gathering, BRD/FRD Documentation, GAP Analysis, SWOT Analysis, Process Mapping, Stakeholder Management

Data Modeling & Databases: PostgreSQL, SQL Server, Snowflake, Data Warehousing, Dimensional Modeling, Data Governance

Cloud & Data Platforms: AWS (S3, Athena, Glue), Azure (Data Factory, Synapse), GCP BigQuery

ETL & Data Pipelines: Data Integration, Data Ingestion, Apache Airflow, Automated Reporting, Workflow Optimization

Statistical Analysis & Forecasting: Hypothesis Testing, Regression Analysis, Time Series Forecasting, Predictive Modeling

Business Intelligence & Reporting: KPI Monitoring, Financial Metrics Analysis, Customer Behavior Analysis, Performance Optimization

Agile & Collaboration Tools: Jira, Confluence, Scrum, Kanban, Sprint Planning, Cross-Functional Delivery

Data Quality & Governance: Data Validation, Data Cleansing, Data Lineage, Compliance Reporting

Process Improvement & Automation: Workflow Automation, SQL Optimization, Dashboard Performance Tuning

Documentation & Communication: Executive Presentations, Stakeholder Workshops, Technical Documentation, Data Storytelling Education

Master of Science Cumberland University Information Technology Management, Denton, Texas, USA Jan 2024 – May 2025

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