Sr Analyst, Data Science and Analytics
Lagunilla de Heredia
- Pay
- Salary not listed in the saved posting
- Work setup
Remote stated — work setup source
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.
Read the full posting- Employment
- Unconfirmed
What you’ll bring
All qualificationsPreferred experience
- Experience working in an Agile environment and using Jira or similar tools to manage and track work.
- Experience mentoring junior team members or interns.
Qualification wording
Experience working in an Agile environment and using Jira or similar tools to manage and track work.
Experience mentoring junior team members or interns.
Tools in this posting
- Python
- SQL
- BigQuery
Source — Tool mentions in context
- 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.
Required Technical Skills - Advanced proficiency with Python and SQL. - Advanced proficiency with BigQuery.
- Advanced proficiency with Python and SQL. - Advanced proficiency with BigQuery. - Experience working with modern ML (Machine Learning) ecosystems and analytics libraries.
Job description
TransUnion's Job Applicant Privacy Notice
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.
Required Technical Skills
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.
Preferred Skills
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
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on transunion.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Lagunilla de Heredia
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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 9, 2026
- Recorded sightings
- 55
- Last seen by us
- Oct 8, 2026
- Employer says posted
- Sep 7, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.