Data Science and Analytics Analyst

🔥 20 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 data-driven initiatives • Apply statistical and analytical techniques to defined business problems • Follow coding, data-quality, documentation, and analytical standards • Support scalable and repeatable analytical processes • Collaborate with Product, Engineering, and business stakeholders • Provide progress updates, identify blockers, and participate in team discussions • Document analytical methods, assumptions, findings, and results • Communicate insights through presentations and other appropriate formats

🎯 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 to intermediate knowledge of data analysis and statistical concepts • Strong analytical thinking and problem-solving skills • Clear communication and collaboration skills • Foundational to intermediate programming knowledge using Python, R, or a similar programming language • Foundational to intermediate knowledge of SQL or comparable data-querying methods • Ability to follow established coding and data standards • Experience using data visualization tools such as Power BI or Tableau (desired) • Exposure to machine learning concepts, data science workflows, or analytics-driven decision-making (desired) • Familiarity with customer success or fraud prevention domains (desired) • Experience using Jira or a similar task-management tool (desired)

🏖️ Benefits

• Remote work arrangement • Occasional in-person attendance at work-related events at management’s discretion • Work/life flexibility • Resources to support professional development and growth • Opportunities to collaborate globally • Access to help with professional development • Opportunity to work with pioneering products and cutting-edge technology