Srinivasa Reddy

Data Analyst with 3+ years of experience in business intelligence, reporting, data analysis, and dashboard development. Hands-on experience with Power BI, DAX, Power Query, SQL, Excel, and Python, with expertise in developing interactive dashboards, data models, KPI reports, and automated reporting solutions. Experienced in gathering business requirements, performing data validation and reconciliation, identifying data discrepancies, and delivering actionable insights to stakeholders.

Strong ability to translate business requirements into scalable reporting and analytics solutions.

SOFTWARE ENGINEER-DATA ANALYST-REMOTE - THOUGHTPROCESS SOFTTECH - Hyderabad, India

(2023-06)

• Developed and maintained interactive Power BI dashboards and business reports to monitor KPIs, operational performance, trends, and management metrics.
• Built scalable Power BI data models using relationships, calculated columns, measures, and DAX to support business reporting requirements.
• Used Power Query for data extraction, cleansing, transformation, and preparation of reporting datasets from multiple sources.
• Developed complex SQL queries using joins, CTEs, aggregations, subqueries, and window functions for data extraction, validation, reconciliation, and reporting.
• Created and maintained DAX measures and KPIs to support business performance analysis and management reporting.
• Performed data validation and reconciliation to identify missing data, mismatched figures, duplicate records, and calculation discrepancies before publishing reports.
• Collaborated with business stakeholders to gather reporting requirements and translate them into meaningful dashboards, KPIs, and analytical solutions.
• Automated recurring reporting processes, reducing manual reporting effort and improving reporting efficiency.
• Analysed business performance data to identify trends, anomalies, process improvement opportunities, and actionable insights.
• Supported ad hoc analysis and reporting requests from business and management teams.
• Documented report logic, KPI definitions, data sources, calculations, and business requirements to improve reporting consistency.
• Optimized Power BI reports and data models to improve performance, usability, and refresh efficiency.

Bachelors - Mechanical Engineering - Universal College of Engineering and Technology (2019-07 - 2023-01)