Sr. Analyst, Research & Consulting

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What We'll Bring:

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

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