Analyst, Data Science and Analytics

Foundational to intermediate proficiency in data analysis and statistical methods.

Foundational to intermediate proficiency in at least one programming language used for data analysis, such as Python or R.

Foundational to intermediate proficiency in SQL (Structured Query Language) or a similar data-querying language.

Ability to prepare, analyze, and validate data to produce accurate and reliable analytical outputs.

Ability to follow established coding, documentation, and data-quality standards.

Experience with data-visualization tools such as Microsoft Power BI or Tableau.

Exposure to ML (Machine Learning) concepts or data science workflows.

Familiarity with business areas such as customer success, fraud prevention, or analytics-driven decision-making.

Experience using Jira or a similar task-management tool.

Ability to translate analytical findings into clear, actionable recommendations and contribute to documentation, presentations, or knowledge-sharing sessions.

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TransUnion Overview:

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.

Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.