
Sr Analyst DSA, MMM
TransunionSummary
TransUnion is seeking data analysts with strong quantitative and analytical skills for the Sr Analyst DSA, MMM role. This position involves working on multi-million dollar customer engagements, analyzing customer data, and developing expertise in big data, marketing, and consulting. The role focuses on marketing effectiveness, ROI, brand equity, and channel optimization. Responsibilities include diagnosing business needs, wrangling data, identifying insights, implementing analytics solutions, building attribution and marketing mix models, analyzing large datasets, and validating model results. It's a hybrid position requiring regular performance of duties in-person at an assigned office.
Required Skills
Details
- Experience Required
- 1+ years
- Posted
- ~Jun 29, 2026
Description
TransUnion's Job Applicant Privacy Notice
Team Overview
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 the Sr Analyst 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. 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
• 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 and consultants 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 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, digital attribution modeling, multivariate regression, time-series modeling, Bayesian statistics, segmentation modeling, machine learning, data mining, simulation, optimization, forecasting, and ROI analysis
- Working knowledge of Python for atleast 2 years along with Excel and SQL
- Bachelor’s degree (required) with mathematical or engineering background
- An effective cross functional 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
TransUnion Overview:
At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. 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 recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.
Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.
TransUnion Job Title
Sr Analyst, Data Science and Analytics
