Sr. Analysts

TransUnion
Remote

About The Position

Sr. Analysts for various & unanticipated worksites throughout the U.S. (HQ: Chicago, IL). Collect data from multiple sources, using collected data to diagnose business needs of clients. Work closely with Data Scientists, Consultants, and external clients to identify insights, translate data analysis to stakeholders, and share results of data analysis. Implement analytics solutions to address marketing effectiveness, return on investment (ROI), brand equity impact, segmentation, pricing, and environmental factors. Work with Senior Data Scientists and other associates to ensure quality of data models, including modeling methodologies, data/model validation metrics, actionable insights, and analytical/technical best practices. Implement multi-touch attribution models (MTA) and marketing mix models (MMM) based on statistics, econometrics, and machine learning techniques such as logistic regression, choice model, time-series model, panel data model, Bayesian statistics, ridge regression, structural equations, probability theory, and clustering algorithms. Analyze big data sets to generate insights on media, market conditions, and web navigations. Validate model results, compiling these results into reports on ROI analysis, forecasting, simulation, and optimization. Technical environment: quantitative analytics, multivariate regression, time-series modeling, Bayesian statistics, segmentation modeling, machine learning, data mining, simulation, optimization, forecasting, SQL, R, Python, experimental design, causal inference, hypothesis testing, exploratory data analysis, feature engineering, dimensionality reduction (e.g., PCA), model validation, data visualization, cloud computing and big data querying (Google BigQuery), probabilistic inference, pipeline automation, regularization methods (ridge, lasso), model tuning and evaluation, statistical reporting.

Requirements

  • Master’s degree in Analytics, Statistics, Data Science, Operations Research, or related field required.
  • quantitative analytics, multivariate regression, time-series modeling, Bayesian statistics, segmentation modeling, machine learning, data mining, simulation, optimization, forecasting, SQL, R, Python, experimental design, causal inference, hypothesis testing, exploratory data analysis, feature engineering, dimensionality reduction (e.g., PCA), model validation, data visualization, cloud computing and big data querying (Google BigQuery), probabilistic inference, pipeline automation, regularization methods (ridge, lasso), model tuning and evaluation, statistical reporting.
  • Bachelor’s degree in Analytics, Statistics, Data Science, Operations Research, or related field plus 2 years of experience in quantitative analytics also acceptable.

Responsibilities

  • Collect data from multiple sources, using collected data to diagnose business needs of clients.
  • Work closely with Data Scientists, Consultants, and external clients to identify insights, translate data analysis to stakeholders, and share results of data analysis.
  • Implement analytics solutions to address marketing effectiveness, return on investment (ROI), brand equity impact, segmentation, pricing, and environmental factors.
  • Work with Senior Data Scientists and other associates to ensure quality of data models, including modeling methodologies, data/model validation metrics, actionable insights, and analytical/technical best practices.
  • Implement multi-touch attribution models (MTA) and marketing mix models (MMM) based on statistics, econometrics, and machine learning techniques such as logistic regression, choice model, time-series model, panel data model, Bayesian statistics, ridge regression, structural equations, probability theory, and clustering algorithms.
  • Analyze big data sets to generate insights on media, market conditions, and web navigations.
  • Validate model results, compiling these results into reports on ROI analysis, forecasting, simulation, and optimization.

Benefits

  • flexible time off for exempt associates
  • paid time off for non-exempt associates
  • up to 12 paid holidays per year
  • health benefits (including medical, dental, and vision plan options and health spending accounts)
  • mental health support
  • disability benefits
  • up to 12 weeks of paid parental leave
  • adoption assistance
  • fertility planning coverage
  • legal benefits
  • long-term care insurance
  • commuter benefits
  • tuition reimbursement
  • charity gift matching
  • employee stock purchase plan
  • 401(k) retirement savings with employer match
  • access to TransUnion’s Employee Resource Groups
  • Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans.
  • company-paid basic life and AD&D
  • optional voluntary life and AD&D for you and your family
  • short- and long-term disability
  • legal plan
  • pet insurance
  • travel accident coverage
  • Dependent Care FSA for possibility of an employer match
  • complimentary Care@Work membership
  • financial wellness resources
  • career coaching
  • employee discounts
  • paid volunteer time off
  • corporate volunteer events
  • 24/7 support including professional therapy, coaching, and emotional well‑being programs alongside guided meditation and resources that support physical, mental, social, and financial wellness.
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