Consultant, Data Science and Analytics - Monitoring and BI at TransUnion

What You'll Bring

This role requires that you perform an array of regression, segmentation, clustering, and other advanced statistical analysis techniques to understand client business environments to advise clients to consider changing processes or updating implemented solutions to maximize business strategies. You will construct, analyze and interpret various monitoring reports and present outputs to clients in order to give them a clear understanding of their credit book over a period of time. Explores new statistical analysis and related research techniques and software and presents findings to peers within TransUnion. Manages the integration of data analysis with statistical models to make sound strategic recommendations.

• A degree in Statistics, Mathematics, Actuarial science, Business Mathematics or Informatics degree
• Sound understanding of statistical software. SAS, R, Python, SQL, Business Object and Dashboard creation experience would be preferred.
• Technical aptitude with strong logical, problem solving, and decision-making skills. Proficiency in performing multiple tasks and dealing with changing deadline requirements required.
• Must have good verbal and written communication skills; strong listening and teamwork skills; and effective presentation and sales skills are also required.
• Must be focused, flexible, and organized.
• Occasional travel is required.

Impact You'll Make

• Conduct data analysis to understand internal and client data, process flows, policies and procedures
• Provides ongoing customer and sales support; uncovering opportunities and resolving problems
• Constructs, analyses and interprets various monitoring reports
• Analyses and interprets trends encountered and makes logical conclusions from monitoring output
• Utilizes communication and reporting methods to ensure the output and recommendations are presented to clients in an understandable manner
• Read and import raw data from various formats into SAS/R environment. Use SAS/R to analyse data in detail as well as the utilization of macros
• Generate tables and graphs using SAS, R and Excel
• Create Dashboards using Tableau
• Scorecard and portfolio monitoring (SAS, R, SQL, Excel) and additional ad hoc analysis according to predefined techniques and standards
• Managing the analysis of data files in various layouts and performing data auditing and validation
• General and detailed data interrogation, transformation and manipulation
• Identification of data trends or patterns, data mining and warehousing
• Ability to present outputs and recommendations to clients in an understandable manner