Business Analytics Lead in Data-Driven Strategy

Hrutheek Thummala Business Analyst

Texas, USA +1-716-***-**** ********.*@**************.*** LinkedIn GitHub PROFESSIONAL SUMMARY

Business Analyst with around 5 years of experience in gathering, analyzing, and interpreting complex business data to drive strategic decision-making, leveraging SQL, Python, Power BI, and Tableau to optimize processes and enhance operational efficiency by 30%.

Skilled in requirement gathering, stakeholder management, and process optimization, conducting in-depth gap analysis, SWOT analysis, and data-driven forecasting, enabling data-backed recommendations that improved business performance by 25%.

Expertise in ETL processes, data modeling, and automation, utilizing SQL, Alteryx, and Python to streamline data transformation, dashboard creation, and workflow automation, eliminating 50% of manual reporting efforts and ensuring real-time insights.

Proficient in data governance, risk analysis, and compliance, implementing GDPR, CCPA-compliant frameworks, RBAC

(Role-Based Access Control), and KPI tracking, securing 99.9% data precision and regulatory adherence across business units. TECHNICAL SKILLS

Data Analysis & Visualization: SQL, Power BI, Tableau, Looker, Excel, Python (Pandas, NumPy, Matplotlib) Business Intelligence & Reporting: KPI Dashboards, Ad-hoc Reporting, Data Storytelling, Report Automation ETL & Data Management: Alteryx, Talend, Informatica, Snowflake, Data Warehousing, Data Modeling Cloud Platforms & Data Engineering: AWS (Redshift, QuickSight), Azure (Synapse, Data Factory), GCP (BigQuery) Requirement Gathering & Process Improvement: BRD, FRD, Gap Analysis, Stakeholder Management, BPMN, Workflow Optimization Software & Tools: JIRA, Confluence, Microsoft Power Platform, Salesforce, SAP BI Data Governance & Compliance: GDPR, CCPA, SOX, Role-Based Access Control (RBAC), Data Quality Management Project Management & Agile Methodologies: Scrum, Kanban, Trello, Agile Frameworks, SDLC PROFESSIONAL EXPERIENCE

Business Analyst, JP Morgan Chase & Co. TX Dec 2023 – Present

Designed and implemented advanced data analytics solutions, integrating structured and unstructured datasets from 10+ sources to enhance risk assessment, reducing fraud detection errors by 30% while increasing underwriting accuracy.

Developed and maintained interactive dashboards in Power BI and Tableau, consolidating 50+ KPIs for financial performance, claims processing, and customer retention, reducing report generation time by 40% and improving executive decision-making.

Optimized SQL-based data models and ETL pipelines, enabling seamless data extraction, transformation, and storage across enterprise systems, enhancing data processing efficiency by 35% and ensuring high data accuracy.

Facilitated cross-functional collaboration between finance, operations, and risk management teams, streamlining business intelligence workflows and ensuring 100% compliance with industry regulations, including GDPR and CCPA.

Implemented predictive analytics models using Python and SQL, improving customer churn prediction accuracy by 25%, allowing the marketing team to proactively enhance retention strategies and increase customer lifetime value.

Led automation initiatives in claims and underwriting operations, integrating RPA and workflow automation tools to optimize manual processes, reducing claims processing time by 20% and improving overall operational efficiency.

Established data governance frameworks, including role-based access control (RBAC), automated data validation mechanisms, and compliance audits, ensuring 99.9% data accuracy and enhancing security protocols. Business Analyst, Endurance Technologies Jun 2020 – Dec 2022

Managed end-to-end supply chain analytics, leveraging real-time forecasting models to optimize procurement, inventory, and distribution, reducing stock shortages by 25% and improving overall production efficiency.

Constructed comprehensive business intelligence dashboards in Power BI, automating data aggregation for logistics, finance, and procurement teams, cutting manual reporting efforts by 50% and improving data accessibility for stakeholders.

Redesigned financial modeling frameworks, identifying cost inefficiencies and implementing strategic cost-saving measures, leading to a 15% reduction in operational expenses and improving financial planning accuracy.

Optimized SQL data warehouses, centralizing 5M+ records, boosting query speed by 35%, and enhancing real-time insights.

Engineered scalable ETL pipelines using Python and Alteryx, automating data transformation processes across manufacturing, sales, and supply chain operations, reducing data processing delays by 40% and increasing data consistency.

Spearheaded stakeholder requirement gathering and gap analysis, working closely with senior leadership and IT teams to align BI solutions with business goals, ensuring seamless adoption of analytics-driven decision-making.

Executed advanced root cause analysis techniques, leveraging statistical models and data visualization to detect inefficiencies in production quality control, resulting in a 20% reduction in manufacturing defects and improved product reliability.

Performed advanced market intelligence and customer sentiment analysis, leveraging AI-driven insights to refine pricing strategies and personalize service offerings, contributing to a 10% increase in customer satisfaction and revenue growth. EDUCATION

Stevens Institute of Technology

Master’s in Business Intelligence and Analytics, NJ (GPA :3.8) CERTIFICATIONS

Tableau Certified Data Analyst Training

Python For Business Analysis and Excel

Master Product Management by actually building a product Microsoft Power BI Desktop for Business Intelligence

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