Senior Analyst, Data Science and Analytics

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TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices Team Overview At TransUnion, this role will report to a Senior Director, Data Science and Analytics. You will deliver robust marketing analytics by collaborating closely with our internal stakeholders. By leveraging hands-on expertise in a variety of modeling techniques-such as marketing mix modeling, multi-touch attribution modeling, multivariate regression, and segmentation modeling-this team is able to provide actionable insights that drive our strategy forward. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Role Overview and Core Responsibilities TransUnion is looking for talented analysts with excellent quantitative and analytical skills. Our ideal candidates are determined to combine the art and science of data analytics and marketing to help clients address the complex challenges of marketing effectiveness, ROI, brand equity impact, channel effectiveness, and pricing. In this role, you'll work with senior data scientists on multi-million dollar customer engagements. You'll build your network with the top marketing leadership in major companies across virtually all industries. You'll work hands on with quantitative marketing data to analyze and reveal the business drivers of the Fortune 500. You will develop expertise at the intersection of big data, marketing, and consulting. Our work is not just about delivering a project and moving on to the next challenge. Instead, it's about delivering an evolving stream of value and enabling fact-based decision making. 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 TransUnion will answer, and architect ways to wrangle data from multiple sources. You'll work closely with TransUnion '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 TransUnion 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. Required Knowledge and Experiences 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 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 We're also looking for the preferred skills below. Whether you are proficient or could use some brushing up, we're happy to support your career development and growth in: 1+ years of quantitative analytics experience with marketing metrics and tracking is helpful but not required Benefits that support every part of your life: At TransUnion, we design benefits to help you feel well, do well, and plan well-from day