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JOB DESCRIPTION:
Consultants for Chicago, IL location. Lead analytics client engagement and manage custom analytics analyses including all parts of the revenue lifecycle from account acquisition to account management and collections. Collaborate effectively with both internal and external cross-functional teams to develop tailored, value-added product propositions for B2B clients within the US financial service segment. Develop project proposals, sales presentations, and promotional collateral to enable the adoption of integrated customer solutions. Independently identify strategies and opportunities for customers to test and adopt analytic products and services. Communicate effectively to both internal and external stakeholders about data analytics findings using a variety of tools including Microsoft Office, shiny applications, markdown/rmarkdown tools, consulting on the optimal solution for specific business problems. Demonstrate expertise in exploring new analytics methods and framework such as Conformal Prediction, adverse action code assignment using Shapley Value, and optimization of performance definition. Provide mentorship and training to junior colleagues and maintain progress on all initiatives under limited direct supervision. Technical Environment: data extraction; data segmentation; data visualization; times series forecasting models features; reject inferencing; proxy tagging; constructing compliant peer groups; lost-sales analysis; performance analysis; roll rate analysis; creating credit policy, line assignment strategy, and swap-in swap-out analysis; Azure; Spark; R; SQL; SAS; Python; Tableau; Linux/Unix; AWS Cloud Platform; XG Boost; Power BI; Financial modeling; Cloud computing environments; Machine Learning and Statistical Methods (Multivariate analysis, Hypothesis testing, Classification, Regression, Clustering, Feature Engineering, Decision Trees, Gradient Boosting, Time Series Forecasting).
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JOB REQUIREMENTS:
Master's degree in Statistics, Analytics, Computer Science or related field plus 3 years of experience in data analytics required. Required skills: data extraction; data segmentation; data visualization; times series forecasting models features; reject inferencing; proxy tagging; constructing compliant peer groups; lost sales analysis; performance analysis; roll rate analysis; creating credit policy, line assignment strategy, and swap-in swap-out analysis; Azure; Spark; R; SQL; SAS; Python; Tableau; Linux/Unix; AWS Cloud Platform; XG Boost; Power BI; Financial modeling; Cloud computing environments; Machine Learning and Statistical Methods (Multivariate analysis, Hypothesis testing, Classification, Regression, Clustering, Feature Engineering, Decision Trees, Gradient Boosting, Time Series Forecasting). Some telecommuting permitted.
Benefits & Pay Scale Information:
TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans.
The U.S. base salary range for this position is $116,334/yr-$118,000/yr. annually. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may also be eligible for long-term incentives and other payments based on applicable company guidance and plan documents.
We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.
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Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.
Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position.