Client Value Executives

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Client Value Executives for Crum Lynne, PA location. Work with cross-functional teams to diagnose business needs, translate into questions that TransUnion will answer, and architect ways to wrangle data from multiple sources. Support data collection and analysis for client engagements across both Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA). Use hierarchical, Bayesian regression modeling to understand the relation of marketing factors on an output while controlling for other statistical factors. Use this information with a statistical optimization algorithm to support development marketing tactics and analysis. Aggregate consumer activity data to identify marketing performance and optimize the marketing data by developing algorithms. Help the modeling team and other strategists identify new statistical insights, perform data analysis, and translate findings into market analysis. Generate monthly and quarterly data analysis, review MMM reports, acquire data through sFTP/Lighthouse, and perform data validation. Use quantitative marketing data to help analyze marketing effectiveness, ROI, brand equity impact, effectiveness, and pricing. Diagnose business needs and architect methods utilizing data from multiple sources. Perform econometric modeling and provide advice based on empirical results from Hierarchical Bayesian models. Technical environment: data analytics; marketing mix models; customer segmentation; data management platforms; client-facing predictive analytics; statistics; regression; multiplicative modeling (econometric, Bayesian regression); data visualization; data validation; data mining; Tableau; Python.

Requirements:
*Master’s degree in Market Research, Analytics, Data Science, Statistics, or related field plus 2 years of experience with Data Analytics required. Required skills (can be gained through education or experience): Data analytics, marketing mix models, customer segmentation, data management platforms, client-facing predictive analytics; statistics; regression; multiplicative modeling (econometric, Bayesian regression); data visualization; data validation; data mining; Tableau; Python. Some telecommuting permitted. (*Bachelor’s degree in Market Research, Analytics, Data Science, Statistics, or related field plus 4 years of experience with Data Analytics also acceptable.)

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 $113,443/yr.-$122,634/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.