Overview
A senior analytics role on the FedEx MEISA Data Science team, owning data-driven projects and delivering insights through dashboards, forecasting and cloud-based analytics.
What you'll do
- Develop interactive dashboards and reports using Power BI, DAX, and Office 365 tools.
- Translate complex datasets into actionable insights for business stakeholders.
- Automate reporting processes and ensure data accuracy and consistency.
- Assist in freight volume and revenue forecasting using statistical and machine learning techniques.
- Support demand and capacity planning through data modeling and scenario analysis.
- Lead end-to-end analytics projects, from requirement gathering to solution delivery.
- Collaborate with cross-functional teams including commercial, operations, and IT.
- Ensure timely delivery of high-quality analytical outputs.
- Leverage Azure Cloud, Power Platform, and other modern tools for data integration and analysis.
- Stay updated with the latest trends in data science, BI, and cloud technologies.
- Contribute to the development of reusable analytics assets and best practices.
What you'll need
- Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.
- 3–5 years of experience in analytics, business intelligence, or data science roles.
- Proficiency in Power BI, DAX, Excel, and Office 365 ecosystem.
- Strong SQL and Python skills for data manipulation and analysis.
- Excellent communication and presentation skills.
Nice to have
- Experience with Azure services (e.g., Azure ML, Synapse, Data Factory).
- Experience in air cargo, logistics, or transportation industry.
- Familiarity with forecasting models and statistical techniques.
- Ability to manage multiple projects and work independently in a fast-paced environment.
Details
- Location: Mumbai, India.
- Scheduled weekly hours: 48.
- Worker type: Regular.
- Posting closes 14-Nov-2026.
Read the full description and apply on the company’s own careers page.