At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation – we’re consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.
What You'll Bring:
Required qualifications:
A Bachelor’s degree in Engineering, Analytics, Business, Statistics, Applied Mathematics, Economics or an equivalent discipline
Intermediate to advanced proficiency with writing SQL queries for data analysis
Experience with big data platforms, for example Apache Hadoop, Apache Spark, Hive, etc.
Strong time management skills with the ability to prioritize and contribute to multiple assignments simultaneously
Advanced experience with the MS Office suite, particularly Word, Excel and PowerPoint
A high degree of technical aptitude and ability to run on multiple projects concurrently with minimal guidance
Excellent verbal and written communication skills. You must be able to clearly articulate ideas to both technical and non-technical audiences
Highly analytical mindset with the curiosity to dig deeper into data, trends and consumer behavior
Capability to eloquently describe analytic ideas, requirements, processes and findings in non-technical terms
Strong work ethic with the passion for team success
Preferred Qualifications:
A Master’s or Ph.D. in Engineering, Analytics, Business, Statistics, Applied Mathematics, Operations Research, Economics or an equivalent discipline. Equivalent analytical experience will be considered in lieu of an advanced degree
Intermediate knowledge on one or more statistical programming languages such as R or Python
Experience with data visualization tools like Tableau
Experience with FCRA data in consumer credit market. This could be previous experience with a lender such as a bank, fintech, or credit union, or could be with a credit bureau, or a government agency or non-profit that works with consumer credit data
Curiosity as to why consumers act the way they do with their credit
The art of storytelling with an ability to translate a business problem into an analytical design and propose a solution using its analysis findings
Impact You'll Make:
Dig in by extracting data and performing 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 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, and prescriptive analysis leveraging a variety of techniques (e.g. segmentation, regression, clustering, survival analysis, and machine learning)
Help to cultivate an environment that promotes excellence, innovation, and a constantly learning spirit
Impact You'll Make:
Impact You'll Make:
Dig in by extracting data and performing 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 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, and prescriptive analysis leveraging a variety of techniques (e.g. segmentation, regression, clustering, survival analysis, and machine learning)
Help to cultivate an environment that promotes excellence, innovation, and a constantly learning spirit
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.
TransUnion Job Title
Sr Analyst, Research & Consulting
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