Data Analyst Job in Mumbai at FedEx

FedEx is hiring for the role of Data Analyst!

Responsibilities of the Candidate:

• Identify available data, including internal and external data sources, and work with internal and external subject matter experts to select the relevant sources of information
• Explore data sets from a variety of different sources to gather, synthesize, and analyze relevant data
• Explore data to refine hypotheses, discover new relationships, insights, and analytic paths from the data
• Identify the latest technological advances that accelerate the data analytics of the enterprise
• Provide analytics expertise to solve in-depth and technical problems
• Develop design approaches to validate finding(s) or test hypotheses
• Identify/create the appropriate algorithms to discover patterns, trends, and clusters in related or unrelated variables
• Gather relevant information, identify relationships, deduce from cause to effect, and draw logical conclusions to drive business decisions
• Work in iterative processes with the customer/business partner and validate findings
• Present senior executives with strong storytelling capability to drive insights out of data
• Help the business understand the data behind their results to gain stakeholder buy-in
• Present/frame business scenarios in ways that are meaningful and depict their findings in easy-to-understand terms

Requirements:

• 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
• Good to have – cloud computing, big data, Azure