Exploration/Opportunity Identification
- Explores diverse data sets from a variety of different sources to gather, synthesize and analyze relevant data and draw conclusions that can be used to identify relevant issues, business concerns, and trends
- Explores data to discover or refine hypotheses, discovers new relationships, insights and analytic paths from the data
Statistical Analysis & Evaluation
- Develops experimental design approaches to validate finding(s) or test hypotheses
- Gathers relevant information, identifies the appropriate algorithm to discover patterns and relationships, deduces from cause to effect, and draws logical conclusions
- Applies intermediate/advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems
- Effectively uses current and emerging technologies to evaluate trends and develop actionable insights
Presentation/Strategic Recommendations
- Story telling/presenting with data insights and actionable recommendation
- Helps the business understand the scientific principals behind their process in order to gain stakeholder buy-in
- Work with business users to assist and teach tools and techniques to the teams while partnering with the business users to solve their business problems
- Provides thought leadership and dependable execution on diverse projects
- Presents/frames business scenarios in ways that are meaningful and depicts their findings in easy to understand terms
Experience - 5+ years in analytics, consulting and statistics
Key Skills - Data and Business Analytics, Advanced Statistics and Predictive Modelling, Stakeholder Management, Project Management
Education – MBA/Masters in 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
