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.

Job Purpose

Lead and implement advanced analytical processes through data/text mining, model development, and prediction to enable informed business decisions. Apply sound analytical expertise to examine structured and unstructured data from multiple disparate sources to provide insights and recommend high-quality solutions to leadership across levels.

Plan initiatives from concept to execution with minimal supervision and communicate results to a broad range of audiences. Develops a superior understanding of pricing and revenue management through internal and external sources to creatively solve business problems and lead the team from concept to execution of projects.

Typically uses data, statistical and quantitative analysis, modeling, and fact-based management to drive decision-making. Provides regular expert consultative advice to senior leadership. Effectively shares best practices and fosters knowledge sharing across teams. Provides cross-team and cross-org consultation and supports communities of practice excellence.

Accountabilities

Leadership

Lead cross functional projects and programs formally preparing and presenting to management Routinely work on multiple highly complex assignments concurrently 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 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

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 pricing and revenue management yield management, customer segmentation analytics, revenue impact analytics, etc. is a plus Exposure to predictive analytics, ML/ AI techniques is an added advantage Education MBA/Masters in Information Systems, Computer Science, or a quantitative discipline such as mathematics, engineering, operations research, economics & statistics from tier 1/2 institutes Tools - Oracle, SQL Server, Teradata, SAS, Python, Tableau/PowerBI/Spotfire Good to have cloud computing, big data, Azure

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.

All qualified applicants will receive consideration for .