TransUnion Data Science & Analytics Job Alerts – Apply Soon!

Qualifications

Skills and Experience:

• A degree in Statistics, Mathematics, Actuarial science, Business Mathematics, or Informatics degree Sound understanding of statistical software. SAS, 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.
• Ability and willingness to learn in a fast-paced environment and adapt to the situation.
• Ability to work with junior data scientists and offshore associates.

Job description and Responsibilities

• Help diagnose business needs, translate into questions that Transunion will answer, and architect ways to wrangle data from multiple sources.
• Work closely with Transunion’s data scientists, consultants, and external clients to identify new insights, translate findings into the stakeholder’s native language.
• Execute cross-functional best practices ensuring quality delivery and instituting processes to improve efficiency of our analytic solutions.
• 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 environment. Use SAS to analyse data in detail as well as the utilization of macros
• Generate tables and graphs using SAS and Excel
• Scorecard and portfolio monitoring (SAS, 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
• Working with senior data scientists and offshore associates to ensure model quality in terms of modelling methodologies, data / model validation metrics, actionable insights, and analytical/technical best practices.
• Analysing big data sets to generate deep insights on paid media, organic media, market conditions, web navigations, and individuals’ propensities on multi-step conversion activities in the consumer journeys.
• Telling stories to make complex things simple to understand and translate into measurable actions.
• Validating model results and package them into insightful client-friendly reports on ROI analysis, forecasting, simulation and optimization.
• Ensuring rigorous quality control and detect anomalies in the model with ongoing new data stream.
• Participate analytics discussions in client meetings
• Cross-functional collaboration and best practices