Sr. Analysts

Sr. Analysts page is loaded## Sr. Analysts locations:
Remote - UStime type:
Full time posted on:
Publicado hoyjob requisition :

** Team Overview
** 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 Big Query), probabilistic inference, pipeline automation, regularization methods (ridge, lasso), model tuning and evaluation, statistical reporting.

Job Requirements  
* Master’s degree in Analytics, Statistics, Data Science, Operations Research, or related field required. Required skills (can be gained through education or experience): 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 Big Query), probabilistic inference, pipeline automation, regularization methods (ridge, lasso), model tuning and evaluation, statistical reporting.

100% telecommuting permitted. (
* Bachelor’s degree in Analytics, Statistics, Data Science, Operations Research, or related field plus 2 years of experience in quantitative analytics also acceptable).
Benefits & Pay Scale Information:  Trans Union provides flexible benefits including 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, and access to Trans Union’s Employee Resource Groups.

Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans.
The U.S. base salary range for this position is $96,928/yr- $98,907/yr + benefits  annually. Regular, fulltime non-sales positions may be eligible to participate in Trans Union’s annual bonus plan. Certain positions may also be eligible for long-term incentives and other payments based on applicable company guidance and plan documents.
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