Analyst, Data Science and Analytics

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Team Overview

Role Overview And Core Responsibilities

• Complete well-defined analytical assignments with guidance while building foundational data science and analytics capabilities.

• Deliver accurate, reliable, and timely analytical outputs that support business decision-making.

• Prepare, analyze, and validate data to support data-driven business initiatives.

• Apply statistical and analytical techniques to address business problems and develop actionable insights with guidance.

• Support the development and continuous improvement of scalable, repeatable analytical processes while following established coding and data standards.

• Collaborate with Product, Engineering, and business stakeholders to understand business context, provide progress updates, raise blockers, and align analytical solutions with organizational goals.

• Communicate findings and recommendations through clear documentation and presentations while continuously strengthening technical and analytical capabilities.

Required Knowledge And Experiences

• Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Economics, or a related quantitative field.
• At least one year of professional experience in data analysis, data science, or a related role.
• Foundational knowledge of data analysis and statistical techniques and how they can be applied to business problems.
• Strong analytical thinking and problem-solving skills, with the ability to complete accurate work on time and follow established standards.
• Experience working in collaborative team environments, participating in discussions, communicating progress or blockers, documenting work, seeking feedback, and continuously improving.

Required Technical Skills

• 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.

Desired Skills

We’re also looking for the preferred skills below. Whether you are proficient or could use some brushing up, we’re happy to support your career development and growth in:

• 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.

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.

TransUnion Job Title

Analyst, Data Science and Analytics