Description review
Sr Analyst, Data Science and Analytics
TransUnion · Costa Rica · back to the listing
HR standards
63/100
needs work
Title ↔ description
71/100
solid
Reads as
Data Scientist
92% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
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What the listing never says
- 21 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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
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 working in an Agile environment and using Jira or similar tools to manage and track work.
• Experience mentoring junior team members or interns.
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 AnalyticsOriginally posted on Himalayas
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
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 working in an Agile environment and using Jira or similar tools to manage and track work.
• Experience mentoring junior team members or interns.
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 AnalyticsOriginally posted on Himalayas