Senior Technician, Data Analysis

🕒 August 7

🇨🇷 Costa Rica – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 31%

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

• Support development, testing, and deployment of analytical and Machine Learning solutions • Analyze large, structured datasets to identify trends, patterns, and actionable insights • Prepare and transform data and perform feature engineering • Assist with model validation activities • Create reports, data visualizations, and presentations for technical and business audiences • Collaborate on research initiatives and data-driven projects • Partner with cross-functional colleagues to clarify analytical needs and contribute to data solutions • Document analytical methods, assumptions, findings, and project outcomes • Report to the Manager I, Data Science and Analytics

🎯 Requirements

• 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 must have completed relevant Data Science coursework • No professional Data Science experience is required • Demonstrated interest in data, analytics, problem-solving, and practical application of analytical methods • Strong analytical thinking, critical reasoning, intellectual curiosity, and verbal and written communication skills in English • Foundational programming knowledge in Python or R • Basic understanding of SQL and relational databases • Foundational understanding of statistics, probability, and data analysis concepts • Exposure to Machine Learning concepts through coursework, academic research, or projects • Ability to work with structured datasets and derive meaningful insights

🏖️ Benefits

• Work/life flexibility • Resources to support professional development and growth • Opportunities to collaborate with global teams • Access to help with professional development • Work-related events attendance opportunities