Data Analyst Senior II

Job Summary

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

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: Bachelors degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Masters 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.