Anu Verma

About Anu Verma

I am a Senior Data Analyst with 6+ years of experience across logistics, sustainability, and manufacturing industries. I specialize in developing self-service dashboards that communicate key metrics to executive stakeholders and automate reporting processes. My technical skills include SQL, Python, Power BI, and advanced Excel functionalities such as Power Query, VBA, and DAX. I have consistently identified and resolved data inconsistencies between systems, created real-time calculation tools by querying databases, and engineered dashboards that reduce reporting time while increasing accuracy. My work has directly contributed to cost savings, error reduction, and operational efficiency improvements across organizations.I hold a Master of Science in Business Analytics and Project Management from the University of Connecticut and an MBA with Data Analytics concentration from Baruch College, both with GPAs above 3.8. My educational background is complemented by multiple Microsoft Power BI Data Analyst Associate certifications and a Bachelor of Technology in Supply Chain Management. This combination of practical experience, technical expertise, and academic knowledge enables me to translate complex data into valuable business insights.

Experience

1. Senior Data Analyst

   Fusion Transport

   Jan 2024 — Present · Rutherford, NJ, US

   Developed dashboards to communicate retail consolidation metrics to the CEO, CFO, and the SVP of Operations, synthesizing data from disparate sources, defining KPIs, and visualizing data leading to proactive identification of growth opportunities-Streamlined reporting for Sales and Customer Experience teams by creating automated Excel reports detailing delays, on-time compliance, and delay categorization by client and region, reducing reporting time by 20 hours per quarter and enabling better identification of operational inefficiencies-Identified data anomalies and inconsistencies between MercuryGate and NetSuite sales and purchase order data. Designed and implemented a Power BI dashboard to visualize discrepancies, resulting in an 80% reduction in errors and improved financial reporting accuracy-Increased the reliability of the warehouse demand planning Power BI tool by 40% through data cleaning and organization from Excel, PostgreSQL, and SharePoint using Power Query, enabling more accurate manpower planning.

Education

• Zicklin School of Business

  Master of Business Administration - MBA, Data Modeling/Warehousing and Database Administration

  2020 — 2022

• University of Connecticut

  Master of Science - MS, Business Analytics and Project Management

  2022 — 2023

Skills

• Operations Management
• Healthcare Analytics
• Strategic Planning
• Analytic Problem Solving
• Team Leadership
• Public Speaking
• Microsoft Word
• Microsoft Office
• Time Management
• Microsoft Excel
• Research
• Teaching
• Healthcare Information Technology
• Powerpoint
• Nursing Documentation