TransUnion

Analyst, Data Science and Analytics

Costa Rica · Work style not stated · Full time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerTransUnion
  • LocationCosta Rica
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

TransUnion's Job Applicant Privacy Notice

Team Overview

The Data Science and Analytics team develops advanced analytics and Artificial Intelligence (AI) solutions that address complex business problems and enable data-driven decision-making across TransUnion. The team translates business strategy into scalable analytics solutions designed to generate measurable impact. Working in a cross-functional environment, the team partners closely with Product, Engineering, and business stakeholders. This role reports to the Senior 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

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

Show full description

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.

#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

Analyst, Data Science and Analytics

Staying safe while you apply

  • Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
  • Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
  • Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

  • Check the fit.

    Compare the requirements with the experience you have confirmed, including gaps.

  • Prepare honestly.

    Build interview stories and application drafts from your own evidence.

  • Keep track.

    Save the role and record your own application status and follow-ups.

Create a free workspace or log in.

At a glance

  • Employment typeFull time
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

SQL Python Tableau Power BI Jira Machine learning

Explore similar roles

Similar jobs

TransUnion

Data Scientist

United States

Work style not statedFull time

TransUnion

Sales VP

Colombia

Work style not statedFull time