Consultant, Data Science & Analytics

TransUnion • City of Daşşak, NY, United States • $200k - $250k / year • 1m ago

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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

Experience with statistical concepts (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
Working knowledge of Excel, SQL, R, Python, etc.
Bachelor’s degree with econometrics or mathematical background (Econometrics, Statistics, Data Mining, Physics, Engineering, Operations Research, Finance, etc.)
Effective written and verbal communication
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 associates

We’d Love To See

5+ years of quantitative analytics experience with marketing metrics and tracking
Experience in experimentation

Impact You'll Make

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 in 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 the efficiency of our analytic solutions.

Additional Information

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.

Benefits

TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, tuition reimbursement, additional (following any short-term disability) 10 weeks of parental leave with gradual return, adoption assistance, fertility coverage, spousal and domestic partner benefits, charity gift matching, employee stock purchase plan, retirement contributions with employer match, organizational growth potential through our online learning platform with guided career tracks, and access to TransUnion’s Employee Resource Groups.

Diversity Commitment

We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.

Pay Scale Information

The salary range for this position is $80,845.00 - $132,600.00. *The salary range for this position reflects the general range of compensation for this job and does not include our bonus incentive(s). This position is eligible for bonus incentive(s). At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual’s education, training, work experience, job-related skill set, industry knowledge, as well as the scope and responsibilities of the position, and market considerations.