Sr Analyst DSA, MMM

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Team Overview

Role Overview And Core Responsibilities

Youll 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.
Youll help diagnose business needs translate into questions that TransUnion will answer and architect ways to wrangle data from multiple sources.
Youll work closely with TransUnions data scientists and consultants to identify new insights translate findings into the stakeholders native language and tell stories to make complex things simple to understand and translate into measurable actions.
Youll 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: youll 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
• Bachelors 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 drivers 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; thats 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 youll work with great people pioneering products and cutting-edge technology.

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