Data Analyst - Senior II

Responsible for conducting 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 training and support on data analysis tools, communicating findings through compelling visualizations, supporting data projects, and ensuring data accuracy and integrity., 1. Conduct data analysis to extract actionable insights and drive decision-making.

1. Explore and visualize datasets to uncover patterns, trends, and anomalies.
2. Analyze historical data to identify trends and develop forecasts for future performance.
3. Investigate and identify root causes of issues or discrepancies in data.
4. Provide training and support to users on data analysis tools and techniques.
5. Communicate findings and insights through compelling data visualizations and narratives.
6. Support data-related projects by providing analytical expertise and insights.
7. Ensure data accuracy, completeness, and integrity through quality assurance processes.

Bachelor’s degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or Finance.

Minimum Experience Five (5) years of work experience in measurement and analysis, quantitative business problem-solving, operations analysis, marketing analysis, simulation development, and/or predictive analytics.

Knowledge, Skills and Abilities: Proficiency in analytics software and applications. Good interpersonal skills. Good written and oral communication skills.

Fluency in English Analytical Skills Accuracy & Attention to Detail Numerical Skills Planning & Organizing Skills Presentation Skills Statistical Knowledge Data Modelling and Visualization Skills SQL, Python, ETL (Ab Initio, etc.) Data visualization (Power BI, etc.)

Location: BOMHQ

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: Standard I: Two (2) years Standard II: Three (3) years Senior I: Four (4) years Senior II: Five (5) 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., 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.