Sr Technician, Data Analysis
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 14d ago
The date the source published, not the day we noticed it (2026-09-18). Last seen at its source just now.
We have tracked this listing since 23 Sep 2026 (8 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Costa Rica
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $155k–210k/yr
Middle 50% of 1331 listings that do state pay — Engineering · Senior · Americas · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workday employer's own board first seen 8d ago · last seen just now
- location not stated
The listing
TransUnion's Job Applicant Privacy Notice
Team Overview
The Data Science and Analytics team develops advanced analytics and Artificial Intelligence (AI) solutions to 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 while partnering with Product, Engineering, and business stakeholders. This role reports to the Manager I, 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
Support the development, testing, and deployment of analytical and Machine Learning (ML) solutions that help address complex business problems.
Analyze large, structured datasets to identify trends, patterns, and actionable insights that support business decisions.
Prepare and transform data, perform feature engineering, and assist with model validation activities.
Create reports, data visualizations, and presentations that communicate analytical findings clearly to technical and business audiences.
Collaborate with Data Science and Analytics team members on research initiatives and data-driven projects.
Partner with cross-functional colleagues to clarify analytical needs and contribute to appropriate data solutions.
Document analytical methods, assumptions, findings, and project outcomes to support knowledge sharing and repeatable processes.
Required Knowledge And Experiences
Currently enrolled in the final two years of a bachelor’s degree program, or recently graduated, in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related discipline.
Candidates from other academic disciplines who have completed relevant Data Science coursework are encouraged to apply.
No professional Data Science experience is required.
Demonstrated interest in data, analytics, problem-solving, and the practical application of analytical methods.
Strong analytical thinking, critical reasoning, intellectual curiosity, and verbal and written communication skills in English.
Required Technical Skills
Foundational programming knowledge in Python or R.
Basic understanding of Structured Query Language (SQL) and relational databases.
Foundational understanding of statistics, probability, and data analysis concepts.
Exposure to Machine Learning (ML) concepts through coursework, academic research, or projects.
Ability to work with structured datasets and derive meaningful insights.
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 as a Teaching Assistant, Research Assistant, tutor, or student mentor.
Participation in university research, academic publications, or conference presentations.
Completion of academic, personal, or capstone projects involving data analysis or Machine Learning.
Participation in Data Science competitions or hackathons.
Experience collaborating on multidisciplinary academic or project teams.
#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 Technician, Data Analysis