Senior Marketing Analytics Lead
2 days ago
TransUnion is seeking a seasoned marketing analytics expert to lead our unified analytics client projects. This role requires a strong understanding of marketing metrics, data analysis, and visualization. As a Senior Marketing Analytics Lead, you will be responsible for delivering multi-touch attribution models (MTA), marketing-mix models (MMM), and machine learning techniques to address marketing effectiveness, return on investment (ROI), brand equity impact, segmentation, pricing, and environmental factors.
About the Role
This is a hybrid position that 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. The U.S. base salary range for this position is $142,500 - $237,500 annually. You will work with cross-functional teams as a lead data scientist on multi-million dollar customer engagements, building your network with top marketing leadership in major companies across virtually all industries. We offer flexible benefits including flexible time off, paid holidays, health benefits, mental health support, disability benefits, and access to TransUnion's Employee Resource Groups.
Key Responsibilities
- Develop next-gen marketing analytics for unified consumer-centric solutions that incorporate new data assets such as individual identity data, cross-devices, addressable TV, segmentation, targeting, and test results
- Collaborate with external client teams to ensure alignment on modeling methodologies, model validation metrics, actionable insights, and analytical/technical 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
- Mentor junior data scientists while coordinating with data science leadership to align against broader business objectives and team development
What You'll Bring
- 7+ years of experience with SQL, R, Python, Spark, Matlab
- Proven experience in marketing mix models (MMM), multi-touch attribution (MTA) models, experimentation, multivariate regression, time-series modeling, Bayesian statistics, segmentation modeling, machine learning, data mining, simulation, optimization, and/or forecasting
- Technical or programming skills to handle big data, online search, online advertising attribution and online/offline marketing optimization problems
- Bachelor's degree (required) or above (preferred) with mathematical or engineering background: Statistics, Data Mining, Operations Research, Econometrics, Finance, Engineering or similar
- 3+ years of experience mentoring junior data scientists and offshore associates
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