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. 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 What your main responsibilities are: 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 managementRoutinely work on multiple highly complex assignments concurrentlyCuriosity 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 informationExplores data sets from a variety of different sources to gather, synthesize and analyze relevant dataExplores data to refine hypotheses, discover new relationships, insights and analytic paths from the dataIdentifies 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 hypothesesIdentifies/creates the appropriate algorithms to discover patterns, trends and clusters in related or unrelated variablesGathers relevant information, identifies relationships, deduces from cause to effect, and draws logical conclusions to drive business decisionsWorks 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 dataHelps the business understand the data behind their results to gain stakeholder buy-inLeads discovery process with stakeholders to identify business requirements and expected outcomePresents/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 statisticsKey Skills - Data and Business Analytics, Advanced Statistics and Predictive Modelling, Stakeholder Management, Project ManagementExperience in pricing and revenue management yield management, customer segmentation analytics, revenue impact analytics, etc. is a plusExposure to predictive analytics, ML/ AI techniques is an added advantageEducation MBA/Masters in Information Systems, Computer Science, or a quantitative discipline such as mathematics, engineering, operations research, economics & statistics from tier 1/2 institutesTools - Oracle, SQL Server, Teradata, SAS, Python, Tableau/PowerBI/SpotfireGood 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