Data Analyst

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

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

Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation Skills