Job Description

What We\'ll Bring: Play an important role in the Global Operations function by supporting analytics and data science needs of several stakeholders, internal and external, through your data analysis, dashboarding, and storytelling. Bring your data expertise, combine that with functional and policy knowledge, and bridge the two to generate actionable insights, increase business outcomes, and reduce risk to generate better consumer experience and help people increase their credit accessibility. What You\'ll Bring: . Lead dashboard and report development, model creation, and data analysis . Understand how data applies to user journeys while building dashboards and story boards . Generate insights from big data that lead to value added changes within the company . Use advanced statistical techniques to answer a wide variety of requests from operations, product, finance, audit, compliance, and other stakeholders across the company . Develop Operational forecasts for key stakeholders and assist in staffing and capacity planning monitor accuracies and improve forecast models . Support work on updating and monitoring data pipelines managed by Data Engineering teams to bring data to data warehouse for analytics needs . Has a strong knowledge of statistical analysis tools and development languages including R and RStudio, Python, SQL, Tableau . Develop dashboards using tools like Tableau, SpotFire, QuickSight etc. for delivering key business insights . Self-motivated with an ability to work under minimal supervision . Document analysis, queries, logic, requirements, and data discussions with stakeholders for knowledge management and transfer across the team(s) . Be very thorough in answering and retaining information for compliance and regulatory needs . Clear and frequent communication with stakeholders, and excellent presentation skills . Strong ability to manage and communicate project timelines . Translate the business needs to technical needs, and also, the technical concepts to business users in an easily understandable way Impact You\'ll Make: Qualifications: . Undergrad in technology or data science, Masters would be an advantage . 5+ years of experience in advanced SQL, Tableau or another BI tool, Excel R or Python and automation for reporting hands-on experience in various data preparation, analysis, visualization, and modeling packages . Understanding of databases, query optimizations, working with large data sets . Understanding of machine learning concepts and some hands on experience with data preparation, model preparation etc. is beneficial . Utilizing Github for maintaining code, Confluence, Rally or SharePoint for knowledge management .Experience with Kanban project management TransUnion Job Title Sr Analyst, Analytics Consulting

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