Sr Analyst

Key Skills

Big Data Technology, Data science techniques, Effective communication skills, Machine learning techniques, Mathematical modeling, Microsoft-Excel, Optimization, Python Programming, SQL

Job Description

What You'll Bring:

• 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.

Impact You'll Make:

• 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

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.