Senior Analyst, Data Science and Analytics

TransUnion•Chicago, IL

22h•Hybrid

About The Position

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. 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.

Requirements

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

Nice To Haves

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

Responsibilities

Deliver robust marketing analytics by collaborating closely with internal stakeholders.
Leverage hands-on expertise in a variety of modeling techniques—such as marketing mix modeling, multi-touch attribution modeling, multivariate regression, and segmentation modeling—to provide actionable insights that drive strategy forward.
Help clients address the complex challenges of marketing effectiveness, ROI, brand equity impact, channel effectiveness, and pricing.
Work with senior data scientists on multi-million dollar customer engagements.
Build network with the top marketing leadership in major companies across virtually all industries.
Work hands on with quantitative marketing data to analyze and reveal the business drivers of the Fortune 500.
Develop expertise at the intersection of big data, marketing, and consulting.
Deliver an evolving stream of value and enabling fact-based decision making.
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.
Diagnose business needs, translate into questions that TransUnion will answer, and architect ways to wrangle data from multiple sources.
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.
Implement 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.
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. in TransUnion proprietary analytics platform.
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.
Interact with multiple teams across the firm to implement end-to-end solutions and improve processes: Data Operations, Solution Architects, Consulting Services, Product and Engineering.

Benefits

Day-one eligibility for medical, dental, and vision coverage
Supplemental plan options
Spousal, domestic partner, and other eligible dependent coverage is available on select plans.
Tax‑advantaged HSA and FSA accounts
Company‑paid basic life and AD&D
Optional voluntary life and AD&D for you and your family
Short‑ and long‑term disability
Legal plan
Pet insurance
Travel accident coverage
Adoption assistance
Fertility planning coverage
Caregiver support
Access Dependent Care FSA for possibility of an employer match
Complimentary Care@Work membership
Up to 12 weeks of paid parental leave with eligibility for a thoughtful, gradual return
401(k) with employer match
Employee Stock Purchase Plan (ESPP)
Financial wellness resources
Career coaching
Optional long‑term care insurance
Tuition reimbursement
Flexible time off for exempt employees or paid time off for nonexempt employees
Up to 12 paid holidays per year
Commuter benefits
Employee discounts
Charitable gift matching
Paid volunteer time off
Corporate volunteer events that make it easy to give back
24/7 support including professional therapy, coaching, and emotional well‑being programs
Guided meditation and resources that support physical, mental, social, and financial wellness.