Sr. Analyst, Analytics Consulting
About The Position
Senior Analysts, Analytics Consulting for various & unanticipated worksites throughout the U.S. (HQ: Chicago, IL). Extract data and perform segmentation and statistical analyses on large population datasets using languages such as SQL, R, and Python on Linux and Big data platforms. Translate complex analytical findings into business insights to be shared at industry conferences and potentially published with leading media outlets. Serve as an internal expert on both traditional and short-term lending credit data and how it applies to industry trends and current research. Aid in formulating research problems based on real world needs. Deliver data analytic insights and recommendations in succinct and compelling communications and presentations for internal and external customers at various levels including an executive audience. Contribute to projects involving descriptive, predictive, prescriptive, and statistical analysis leveraging a variety of techniques (e.g. segmentation, regression, clustering, survival analysis, and machine learning). Mentor junior analysts. Technical Environment: SQL/Snowflake, Tableau, Power BI, Advanced Excel/VBA/Macros, Apache Spark, Apache Hive, R Studio, Python (numpy, pandas, scikitlearn, SciPy, matplotlib, seaborn, plotly), Data Engineering, EDA, Data Visualization, Database Management, A/B Testing, Data Mining, Segmentation Models, Linear/Logistic Regression, Statistical Computing, Credit and Financial Services Industry Knowledge.
Requirements
- Bachelor’s degree in Data Science, Analytics, Applied Economics, or a related field
- 2 years of experience in Data analysis and statistical modeling required.
- SQL/Snowflake
- Tableau
- Power BI
- Advanced Excel/VBA/Macros
- Apache Spark
- Apache Hive
- R Studio
- Python (numpy, pandas, scikitlearn, SciPy, matplotlib, seaborn, plotly)
- Data Engineering
- EDA
- Data Visualization
- Database Management
- A/B Testing
- Data Mining
- Segmentation Models
- Linear/Logistic Regression
- Statistical Computing
- Credit and Financial Services Industry Knowledge.
Responsibilities
- Extract data and perform segmentation and statistical analyses on large population datasets using languages such as SQL, R, and Python on Linux and Big data platforms.
- Translate complex analytical findings into business insights to be shared at industry conferences and potentially published with leading media outlets.
- Serve as an internal expert on both traditional and short-term lending credit data and how it applies to industry trends and current research.
- Aid in formulating research problems based on real world needs.
- Deliver data analytic insights and recommendations in succinct and compelling communications and presentations for internal and external customers at various levels including an executive audience.
- Contribute to projects involving descriptive, predictive, prescriptive, and statistical analysis leveraging a variety of techniques (e.g. segmentation, regression, clustering, survival analysis, and machine learning).
- Mentor junior analysts.
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
- thoughtful, gradual return
- 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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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
