Data Analyst - Lead

Description

Responsible for leading data analysis to extract actionable insights, exploring datasets to uncover patterns and anomalies, analyzing historical data for trend identification and forecasting, investigating data discrepancies, providing user and team member training and support on data analysis tools, communicating findings through compelling visualizations, leading data projects, and ensuring data accuracy and integrity.

Grade T7

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:

• Executive Partnership: Act as a primary analytical consultant for global leadership, grasping complex business problems and turning them into actionable insights.

• Deep-Dive Analysis: Move beyond surface-level reporting to uncover the "why" behind global logistics trends, operational efficiencies, and market shifts.

• Technical Excellence: Architect robust data queries (SQL) and build sophisticated visualization suites (Power BI) that provide a 360-degree view of the business.

• Predictive Modeling: Apply Machine Learning and Data Science methodologies to forecast trends and optimize global workflows.

• Advanced Storytelling: Design and deliver high-impact presentations that simplify complex ML/DS concepts for non-technical stakeholders.

Some more details:

Leadership

• Lead cross functional projects and programs formally preparing and presenting to management.

• Routinely work on multiple highly complex assignments concurrently.

• Provides consultation to Sr. Leadership on a regular basis.

• Curiosity and inquisitiveness - should be able to reason well and raise pertinent questions.

Exploration/Opportunity Identification

• Identifies available data, including internal and external data sources, works with internal and external subject matter experts to select the relevant sources of information.

• Explores data sets from a variety of different sources to gather, synthesize and analyze relevant data.

• Explores data to refine hypotheses, discover new relationships, insights and analytic paths from the data.

• Identifies latest technological advances that accelerate the data analytics of the enterprise.

Statistical Analysis & Evaluation

• Provides analytics expertise to solve in depth and technical problems. Develops design approaches to validate finding(s) or test hypotheses.

• Identifies/creates the appropriate algorithms to discover patterns, trends and clusters in related or unrelated variables.

• Gathers relevant information, identifies relationships, deduces from cause to effect, and draws logical conclusions to drive business decisions.

• Works in iterative processes with the customer/business partner and validates findings.

Presentation/Strategic Recommendations

• Presenting senior executives with strong storytelling capability to drive insights out of data.

• Helps the business understand the data behind their results to gain stakeholder buy-in.

• Provides thought leadership and dependable execution on diverse projects.

• Leads discovery process with stakeholders to identify business requirements and expected outcome.

• Presents/frames business scenarios in ways that are meaningful and depicts their findings in easy-to-understand terms.

Qualifications & Specifications

• 8+ years of relevant experience in analytics/consulting/informatics and statistics

• Key Skills - Data and Business Analytics, Advanced Statistics and Predictive Modelling, Stakeholder Management, Project Management

• Experience in product analytics, marketing analytics etc. is a plus.

• Exposure to predictive analytics, ML/ AI techniques is an added advantage.

• Education – MBA or a quantitative discipline such as mathematics, engineering from tier 1/2 institutes

• Tools - SQL, Python, Databricks, Data Visualization, PowerBI

Good to have but not mandatory:

• Data Science: Experience with Machine Learning (Regression, Clustering, NLP) and statistical modeling.

• Generative AI: Familiarity with LLMs (GPT-4, Claude, Gemini) and Prompt Engineering to automate insight generation, synthesize large-scale qualitative data, or enhance internal analytical workflows.

Great Places to Work (GPTW) Certified (2025-2026)

Education: Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD preferred.

Relevant work experience as in data analysis based on the following number of years:
Lead I: Five (5) years
Lead II: Six (6) years

Knowledge, Skills and Abilities
• Fluency in English
• Analytical Skills
• Accuracy & Attention to Detail
• Numerical Skills
• Planning & Organizing Skills
• Presentation Skills
• Statistical Knowledge
• Data Modeling and Visualization Skills

FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone.

All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.

Our Company

FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.

Our Philosophy

The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.

Our Culture

Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.