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Senior Analyst, Data Science and Analytics

Learn more about TransUnion
TransUnion

TransUnion

Senior Analyst, Data Science and Analytics

Remote
Full Time
Paid
  • Responsibilities

    WHAT WE'LL BRING:

    At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.

    Come be a part of our team - you’ll work with great people, pioneering products and cutting-edge technology.

    WHAT YOU'LL BRING:

    • Familiarity or interest in data analytics and/or statistical concepts such as marketing mix modeling, multi-touch attribution modeling, multivariate regression, time-series modeling, Bayesian statistics, segmentation modeling, machine learning, data mining, simulation, optimization, forecasting, and ROI analysis

    • Working knowledge of Excel, SQL, R, and Python or similar

    • Bachelor’s degree (required) with mathematical or engineering background: Statistics, Data Mining, Operations Research, Econometrics, Finance, Engineering or similar

    • An effective client-facing communicator in both written and verbal skills

    • Ability to manage multiple projects with a large cross-functional team

    • Ability and willingness to learn in a fast paced environment and adapt to the situation

    • 1 to 3 years of quantitative analytics experience with marketing metrics and tracking is helpful but not required

    • Location is flexible. It can be remote or in one of our U.S. offices.

    IMPACT YOU'LL MAKE:

    • You’ll help clients know everything they can about their customers and prospects, deliver exceptional customer experiences, and know if their marketing worked and how to make it better.

    • You’ll help diagnose business needs, translate into questions that Neustar will answer, and architect ways to wrangle data from multiple sources.

    • You’ll work closely with Neustar’s data scientists, consultants, and external clients to identify new insights, translate findings into the stakeholder’s native language and tell stories to make complex things simple to understand and translate into measurable actions.

    • You’ll implement our unified analytics solutions to address marketing effectiveness, return on investment (ROI), brand equity impact, segmentation, pricing, and environmental factors.

      • Work with senior data scientists and offshore associates to ensure model quality in terms of modeling methodologies, data / model validation metrics, actionable insights, and analytical/technical best practices.

      • In our Neustar proprietary analytics platform implement multi-touch attribution models (MTA) and marketing mix models (MMM) that are based on statistics, econometrics, and/or machine learning techniques such as logistic regression, choice model, time-series model, panel data model, Bayesian statistics, ridge regression, structural equations, probability theory, clustering algorithms, etc.

      • Analyze 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.

      • Validate model results and package them into insightful client-friendly reports on ROI analysis, forecasting, simulation and optimization.

      • Ensure rigorous quality control and detect anomalies in the model with ongoing new data stream.

      • Interdisciplinary work: you’ll interact with multiple teams across the firm to implement our end-to-end solutions and improve processes: Data Operations, Solution Architects, Consulting Services, Product and Engineering.

    TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, tuition reimbursement, primary parental leave of at least 16 weeks, secondary parental leave of 4 weeks, adoption assistance, fertility planning coverage, spousal and domestic partner benefits, bonus incentives, charity gift matching, employee stock purchase plan, retirement contributions with employer match, organizational growth potential through our online learning platform with guided career tracks, and access to TransUnion’s Employee Resource Groups.

    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.

    The salary range for this position is $ 59,300.00 - $112,700.00 *The salary range for this position reflects the general range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual’s education, training, work experience, job-related skill set, industry knowledge, as well as the scope and responsibilities of the position, and market considerations.

    We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.

  • Industry
    Information Technology and Services
  • About Us

    TransUnion is a global information and insights company that makes trust possible between businesses and consumers, by ensuring that each consumer is reliably and safely represented in the marketplace.

    Because of our work, organizations can better understand consumers in order to make more informed decisions and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools, and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve.