Career Mobility and Development: When you join FedEx, you're joining a team with possibilities that literally span the world--from opportunities for advancement and location transfer, to training and leadership programs.
Total Compensation and Benefits Package: We want to keep our employees for a long time, so we offer competitive benefits, opportunities for flexible work arrangements, and programs to support well-being.
Equal Opportunities Our greatest asset at FedEx is our people. We are committed to building a diverse, equitable and inclusive workforce, and offer equal opportunities, fairness and respect to all regardless of who you are. We encourage you to apply even if you feel your experience does not align with all the aspects in the job description as you could be exactly who we need for this or another opportunity. We do not tolerate discrimination or harassment based on race, color, ethnicity, national origin, religion, sex, age, genetic information, citizenship, disability, marital status, pregnancy, sexual orientation, gender identity, gender expression, veteran status or any other characteristic protected under national, state or local laws. We will reasonably accommodate team members and third parties with physical and mental disabilities. " Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date" Company: INT FedEx Express Transportation and Supply Chain Services (India) Pvt. Ltd. City: Baner, Pune Scheduled Weekly Hours: 48 Worker Type: Regular Posting Start Date 22-Dec-2025 Posting Close Date: 4-Jan-2026 Job Family: FXE-MEISA: Manager Marketing Position Summary: Grade - 15 Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date What your main responsibilities are: Key Responsibilities
Data-Driven Sales Solutions Strategy
o Leverage machine learning, data science, and automation to improve customer data platforms and business development strategies. o Utilize business intelligence (BI) tools and data visualization to support strategic decision-making.
Process Optimization & Automation
o Lead transformation and automation projects to enhance operational efficiency. o Develop and implement process improvement frameworks.
Data Infrastructure & Tools
o Collaborate with data engineering teams to ensure data availability, quality, and governance. o Champion the use of modern analytics tools and platforms (e.g., Power BI, Tableau, Python, R, SQL, cloud-based data warehouses). o Evaluate and implement new technologies and methodologies to enhance analytics capabilities.
External Data & API Management
o Identify, evaluate, and integrate third-party and external data sources to enhance internal analytics. o Develop frameworks for combining internal and external data to generate deeper market and customer insights. o Manage API integrations with external data providers, ensuring secure, scalable, and efficient data access.
Analytical Tool Development
o Lead the design and development of custom analytical tools, dashboards, and applications to support business users. o Collaborate with engineering and IT teams to ensure scalable and secure deployment of analytics solutions.
Stakeholder & People Management
o Lead a team with a focus on coaching, mentoring, and talent development. o Collaborate with global stakeholders across sales, marketing, operations and core analytics teams. o Align regional and global initiatives for seamless execution and enhanced business outcomes. What we are looking for Core Competencies o Strong analytical thinking and problem-solving skills. o Excellent communication and storytelling abilities. o Ability to work in a dynamic, fast-paced environment, leading cross-functional teams. o Leadership and team development experience. Technical Skills Proficiency in commercial pricing, corporate strategy, corporate finance and related fields. o Proficiency in SQL, Python, SAS, Power BI, VBA, and RPA technologies. o Strong expertise in Data Analytics, Salesforce, Machine Learning, Data Science, and Automation. o Extensive experience in Business Intelligence (BI), Data Visualization, and Advanced Analytics. o Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies is must. Preferred Experience o 8+ years of experience in data analytics, business intelligence, or data science. o 3+ years in a managerial or team leadership role. o Experience in industries such as logistics, finance, retail, or technology is preferred.