Data Science and Analytics Analyst

🔥 3 minutes ago

🇨🇷 Costa Rica – Remote

⏰ Full Time

🟢 Junior

📉 Data Analyst

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TransUnion

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1968

💼 Consulting

📣 Marketing

📦 Logistics

💰 Post-IPO Debt on 2018-04

Consulting • Marketing • Logistics

TransUnion is a global credit information and insights company based in the United States. It offers a range of products and services related to credit monitoring, identity theft protection, and credit report management, including free annual credit reports, fraud alerts, and credit freezing services. TransUnion uses the VantageScore® 3. 0 model to provide credit scores, although lenders may use different models to assess creditworthiness. It provides powerful tools for consumers to manage and understand their credit health, such as credit monitoring with alerts and ID theft insurance. TransUnion serves various industries, including financial services, automotive, and media, and is committed to financial inclusion, data security, and consumer privacy. It also provides business solutions for credit portfolio management, customer acquisition, debt recovery, and fraud prevention.

📋 Description

• Complete well-defined analytical assignments with guidance • Deliver accurate, reliable, and timely analytical outputs supporting business decisions • Prepare, analyze, and validate data for business initiatives • Apply statistical and analytical techniques to address business problems and develop actionable insights • Support development and continuous improvement of scalable, repeatable analytical processes • Collaborate with Product, Engineering, and business stakeholders • Provide progress updates, raise blockers, and align analytical solutions with organizational goals • Communicate findings and recommendations through documentation and presentations • Continuously strengthen technical and analytical capabilities

🎯 Requirements

• 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 • Strong analytical thinking and problem-solving skills • Experience working in collaborative team environments • 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 or a similar data-querying language • Ability to prepare, analyze, and validate data • Ability to follow established coding, documentation, and data-quality standards

🏖️ Benefits

• Work/life flexibility • Resources to support professional development and growth • Access to help with professional development • Opportunities to collaborate globally • Occasional in-person attendance at work-related events as applicable