TransUnion's Job Applicant Privacy Notice
What We'll Bring:
What We'll Bring: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:
What We'll Bring:
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.
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