at TransUnion LLC in Chicago, Illinois, United States
Job Description
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What We'll Bring:Transunion Marketing Solutions 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.
What You'll Bring:
What you will be doing:
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.
Participate analytics discussions in client meetings
Collaborate with external client teams to ensure alignment on modeling methodologies, model validation metrics, actionable insights, and analytical/technical best practices, and help to enhance our analytic solutions for client needs
Cross-functional collaboration and best practices
Interact with multiple functional teams across the firm to provide and improve our end-to-end solution and implement new analytics capabilities: Data Operations, Solution Architects, Consulting Services, Product and Engineering
Execute cross-functional best practices ensuring quality delivery and instituting processes to improve efficiency of our analytic solutions
Impact You'll Make:
What we would love to see:
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
Experience in data analysis is a must
Experience in experimentation is a plus
Working knowledge of Excel, SQL, R, Python or similar
Bachelor's degree (required) with mathematical or engineering background: Statistics, Data Mining, Operations Research, Econometrics, Finance, Engineering or similar
An effective 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
Ability to work with junior data scientists and offshore... For full info follow application link.
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.
