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Team Overview
The Data Science and Analytics team delivers advanced analytics and artificial intelligence solutions that address complex business problems and enable data-driven decision-making across the organization. The team translates business strategy into scalable analytical solutions that generate measurable impact and partners closely with Product, Engineering, and business stakeholders. This role reports to the Sr Manager, Data Science and Analytics. This is a remote position which may require occasional in-person attendance at work-related events at the discretion of management.Role Overview And Core Responsibilities
Own assigned analytics and data science workstreams from problem definition through delivery, translating business requirements into analytical approaches, models, dashboards, and actionable insights.
Build, validate, maintain, and document analytical solutions that support business decision-making and deliver measurable business impact.
Apply statistical analysis, machine learning, Python, SQL, BigQuery, and modern analytics libraries to solve complex business problems.
Ensure analytical outputs are reproducible, well documented, scalable, and aligned with established quality standards.
Partner with technical and non-technical stakeholders to frame analyses around business questions, strategic objectives, and intended outcomes.
Present analytical findings and recommendations clearly through reports, presentations, dashboards, and documentation tailored to stakeholder needs.
Communicate progress, risks, dependencies, and blockers in a timely manner while building productive cross-functional working relationships.
Identify opportunities to automate recurring analyses, improve operational efficiency, and strengthen analytical processes through continuous learning and innovation.
Manage priorities across multiple assignments, use Jira and established team processes to track delivery, and share knowledge by documenting best practices and mentoring junior team members and interns.
Required Knowledge And Experiences
Bachelor’s degree in Statistics, Economics, Mathematics, Actuarial Science, Computer Science, Physics, or another quantitative field.
Two to four years of professional experience in data science, analytics, or a closely related field.
Knowledge of statistical analysis and machine learning fundamentals, including their application to analytical business problems.
Strong written and verbal communication skills, with the ability to explain analytical findings to technical and non-technical stakeholders.
Demonstrated ability to take ownership of deliverables, manage priorities, and produce scalable, high-quality analytical solutions with moderate autonomy.
Advanced proficiency with Python and SQL.
Advanced proficiency with BigQuery.
Experience working with modern ML (Machine Learning) ecosystems and analytics libraries.
Experience with cloud-based artificial intelligence and data platforms.
Ability to apply statistical analysis and machine learning techniques to business problems.
Experience working in an Agile environment and using Jira or similar tools to manage and track work.
Experience mentoring junior team members or interns.
#LI-PV1
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
Sr Analyst, Data Science and Analytics
Skills Required
- Bachelor’s degree in Statistics, Economics, Mathematics, Actuarial Science, Computer Science, Physics, or another quantitative field
- Two to four years of professional experience in data science, analytics, or a closely related field
- Knowledge of statistical analysis and machine learning fundamentals applied to business problems
- Strong written and verbal communication skills, including explaining analytical findings to technical and non-technical stakeholders
- Ability to own deliverables, manage priorities, and produce scalable, high-quality analytical solutions with moderate autonomy
- Advanced proficiency with Python
- Advanced proficiency with SQL
- Advanced proficiency with BigQuery
- Experience with modern machine learning ecosystems and analytics libraries
- Experience with cloud-based artificial intelligence and data platforms
- Experience working in an Agile environment and using Jira or similar tools
- Experience mentoring junior team members or interns
What the Team is Saying
TransUnion Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as strong, with multiple plan choices, reasonable deductibles, and access to mental‑health resources like Spring Health.
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Leave & Time Off Breadth — Flexible Time Off for salaried roles, PTO for hourly roles, paid holidays, wellness days, and hybrid flexibility underpin generous time‑away options.
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Parental & Family Support — Parental and caregiver benefits are emphasized, including 12 weeks of paid parental leave with a gradual return, adoption assistance, dependent‑care FSA, and Care@Work backup care from day one.
TransUnion Insights
What We Do
TransUnion is a global information and insights company that makes trust possible by ensuring that each consumer is reliably and safely represented in the marketplace. We do this by having an accurate and comprehensive picture of each person. This picture is grounded in our legacy as a credit reporting agency which enables us to tap into both credit and public record data; our data fusion methodology that helps us link, match and tap into the awesome combined power of that data; and our knowledgeable and passionate team, who stewards the information with expertise, and in accordance with local legislation around the world. Because of our work, organizations can better understand consumers in order to make more informed decisions, and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve. We make trust possible, so businesses and consumers can transact with confidence and achieve great things. We call this Information for Good®—it’s our purpose, and what drives us every day.
Why Work With Us
Our culture is welcoming, energetic and innovative. There’s an overall synergy that flows throughout TransUnion, creating a sense of unity in knowing that we’re all working to achieve the same overall goal. We’re dedicated to providing opportunities for our people to get involved and stay connected with their colleagues across the globe.
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TransUnion Teams
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
