Analytics – Data Engineer

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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.

We aim high — and are reaching for new heights every day. This is a terrific time to join our team as we build on our commitment to integrity, service, reliability and innovation. These values stand behind the decisions we make every day, as well as our relationships at work and with the customers we serve. We believe in the power to achieve and are taking it in bold new directions.

Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.

What You'll Bring:

• Bachelor’s or master’s degree in computer science, data science, analytics, business intelligence, or a related field.
• 3-5 years' experience in building and deploying ETL pipelines.
• Proficiency in analytics tools such as SQL, Python, R, and data visualization software such as Superset
• Proficient in Linux including Shell Scripting, Package Management, and troubleshooting.
• Ability to complete advanced functions including joins, calculations and intermediate SQL proficiency.

What will set you apart:

• Strong analytical skills with the ability to interpret complex data sets.
• Strong understanding of logic, definitions, and argumentation
• Ability to work independently and as part of a team.
• High attention to detail and strong organizational skills.
• Experience with project management and the ability to manage multiple priorities.
• Hands on experience in model building and performance evaluations.

Impact You'll Make:

Who We Are

A global leader in credit information and information management services, Transunion gives businesses, consumers and the global community the power to achieve their goals. Businesses count on us to better manage risk and customer relationships. Consumers are able to better manage credit to achieve their financial goals. And in communities around the world we help build strong economies and give people the power to achieve their dreams.

Exceptional opportunities are coming as we build on this strong foundation. Our ambitious growth strategy includes substantial new investment worldwide, a wide range of new solutions to help our customers succeed like never before, and new ideas for expanding our reach in every part of our dynamic and fast-moving industry. We’re on an exciting journey and you can be a part of it. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

How You Will Contribute 

• Build ETL pipelines and ingest data from different sources (like RDBMS, APU, DataLake (S3)) for KPIs and new data sources
• Monitor ETL jobs and adapt to partner changes 
• Collaborate with stakeholders to define scope, investigation parameters, and objectives of new ETL jobs and Analyses
• Build BI reports in Superset.
• Ensure analytics development processes and controls comply with policy and are well documented
• Monitor and evaluate the effectiveness of data pipelines and recommend improvements

#LI-TE1

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.

Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation are also essential expectations of this position.

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 minimu