Data Analyst - Senior

What can you expect as a FedEx team member?

• 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

Gurugram

Scheduled Weekly Hours

48

Worker Type

Regular

Posting Start Date

7-Sept-2026

Posting Close Date

17-Sept-2026

Job Family

FXE-MEISA

Data Analyst

Position Summary

Grade : T5

"Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date"

Key Responsibilities

Vertical Performance

• Write, optimize, and execute complex SQL queries against FedEx enterprise data warehouses to extract performance metrics across priority industry verticals (e.g., E-commerce, Healthcare, Aerospace, Technology).
• Monitor and analyse key commercial indicators, including volume, revenue, and yield, with a specific focus on identifying regional / lane / product level insights.
• Investigate regional and product-level performance variations, isolating root causes of growth or decline and translating findings into structured data briefs.
• Build, maintain, and automate interactive performance dashboards and scorecards to track commercial performance, vertical health, and pipeline health.

Executive & Leadership Reporting

• Synthesize complex performance datasets into high-impact, visual, and narrative-driven reports for leadership and executive-level business updates (e.g., CEO updates and strategic reviews).
• Translate analytical findings into concise executive takeaways, ensuring executive communications clearly explain the past performance, present status, and future outlook.
• Deliver regular monthly and quarterly performance updates, highlighting competitive risks, commercial opportunities, and customer journey trends.

Strategic & Forecasting Support

• Partner with forecasting, strategy, finance, and marketing functions to model commercial funnels, market demand shifts, and historical volume trends.
• Apply statistical techniques and behavioural segmentation models to track, isolate, and forecast changes in specific customer cohorts and industry verticals.
• Conduct rapid-response, ad-hoc deep dives to answer critical, time-sensitive business questions posed by leadership.
• Provide data backing and baseline historical trends to support annual commercial strategic planning and commercial goal setting.

What We’re Looking For

Experience & Background

• 6-10 years of experience in data analytics, business intelligence, sales analytics, or financial/commercial measurement roles.
• Proven experience querying large-scale, complex relational databases to extract commercial, transactional, and customer-level insights.
• Demonstrated track record of preparing executive-calibre presentations, briefs, and reports based on complex data analysis.
• Experience collaborating with cross-functional, global stakeholders across various time zones.

Core Competencies

Executive Storytelling & Visualization

The ability to translate numbers into a cohesive, executive-ready story that leaders can grasp and act on instantly.

Statistical Thinking & Pattern Discovery

Strong capability to utilize business statistics (e.g., correlation, significance testing, regression, trend analysis) to

robustly identify patterns, validate data anomalies, and extract high-integrity insights from raw corporate data.

Analytical Rigor & Structured Problem Solving

High attention to data accuracy, methodological soundness, and the ability to formulate logical business hypotheses.

Agility & Proactiveness

Comfortable working in a fast-paced environment, managing competing priorities, and delivering quick-turnaround ad-hoc analyses.

Professional Expertise & Technical Skills

• Analytics & BI: High proficiency in SQL (required) and experience working with cloud data warehouses (e.g., Snowflake, Teradata, or BigQuery).
• Applied Business Statistics: Practical knowledge of statistical methods to perform cohort analysis, customer segmentation, and behavioural pattern recognition to discover performance anomalies.
• Business AI & Machine Learning Application: Understanding of how to leverage predictive models, clustering algorithms (e.g., for cohort refinement), and NLP/text mining to automate industry vertical tracking, spot micro-trends, and optimize customer group definitions.
• Data Visualization: Proficiency in building dashboards in Power BI or similar BI tools
• Programming & Automation: Comfortable using Python or R for statistical modelling, data manipulation, and analytical process automation is a must.
• Productivity & Reporting: Expert-level skills in MS Excel (advanced formulas, pivot tables) and PowerPoint (to draft polished, executive-ready presentations).

Sector Familiarity

Prior experience analysing commercial performance within B2B verticals (e.g., Retail/E-commerce, Healthcare & Life Sciences, Industrial, Technology) is highly valued.

• Exposure to CRM/sales enablement tools (e.g., Salesforce)

Certifications (nice to have)

• CFA, FRM, PMP, Six Sigma (or equivalent).