Raghu Menni Lokanadhanaidu

Results-driven Data Analyst with 3+ years of experience in Python, SQL, Power BI, Tableau, ETL pipelines, and AWS data services. Proven track record of driving measurable business outcomes through automation, predictive analytics, and data-driven decision-making. Skilled in data warehouse design, data modeling, dashboard development, KPI reporting, stakeholder management, and cross-functional collaboration across Finance, Technology, Healthcare, and Retail sectors.

Data Analyst at Integrated Travel (2026-04 – Present)

• Conducted data analysis on workforce trends across 10+ industries, identifying skill gaps and high-demand roles to support strategic workforce planning and talent acquisition decisions.
• Utilized Python and SQL to build automated data pipelines extracting insights on hiring trends, in-demand skills, and salary benchmarks across multiple job classifications.
• Designed Power BI dashboards for real-time workforce intelligence, enabling leadership to track demand shifts and benchmark organizational needs against live market data.
• Applied stakeholder management best practices partnering with cross-functional HR and Operations teams to translate data insights into actionable talent strategies.
• Delivered executive-level analytics reports summarizing workforce findings and data-driven recommendations adopted by leadership to guide talent acquisition initiatives.

Data Analyst at Ranco Labs (2025-05 – 2025-12)

• Engineered end-to-end data pipelines in Python to collect, clean, and preprocess large-scale datasets, reducing preprocessing time by 35% and accelerating downstream analytics delivery.
• Designed and deployed 10+ Tableau and Power BI dashboards to visualize real-time KPIs across operational, financial, and customer metrics for leadership teams.
• Performed data quality audits and enforced data governance validation practices, maintaining high data integrity and accuracy standards for all downstream reporting.
• Developed reusable data models and dashboard templates, reducing configuration time by 30% across 5+ reporting use cases and supporting analytics adoption across 3 business units.
• Leveraged AWS S3 and cloud data pipeline infrastructure to support scalable data ingestion workflows for 4+ cross-functional teams.

Junior Data Analyst at Ranco Labs (2023-06 – 2023-12)

• Reduced customer churn by 15% by building predictive analytics models and identifying at-risk user segments through advanced SQL and Python analysis.
• Cut manual reporting time by 40% by automating ETL pipelines and data workflows using Python, freeing analyst capacity for strategic work.
• Delivered executive-ready Tableau dashboards and KPI reports adopted by senior leadership for weekly business reviews tracking engagement, revenue, and operational metrics.
• Integrated AWS (S3, Glue) into ETL pipeline architecture enabling automated data ingestion from 4+ source systems, reducing data latency by 45%.

Data Analyst at Realtime Business Solutions (2021-05 – 2023-05)

• Designed and maintained interactive dashboards using Tableau and Microsoft Excel to track KPIs, enabling business teams to monitor performance and make data-informed decisions.
• Wrote complex SQL queries to extract, filter, join, and aggregate data from relational databases, supporting ad-hoc reporting and recurring business intelligence needs.
• Designed and maintained data warehouse structures with data modeling and data governance standards across 6+ departments, eliminating silos and improving cross-functional accessibility.
• Identified and automated 5+ manual reporting processes using Python and SQL, saving 8 hours per week and improving reporting turnaround time by 35%.

Master of Science in Information Technology Project Management – Arizona State University

Bachelor of Engineering in Computer Science – Sathyabama Institute of Science & Technology