Senior Analyst, Data Science and Analytics

🔥 10 minutes ago

🇨🇷 Costa Rica – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

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Logo of TransUnion

TransUnion

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

• Own assigned analytics and data science workstreams from problem definition through delivery • Translate business requirements into analytical approaches, models, dashboards, and actionable insights • Build, validate, maintain, and document analytical solutions supporting business decision-making • Apply statistical analysis, machine learning, Python, SQL, BigQuery, and modern analytics libraries to complex business problems • Ensure analytical outputs are reproducible, well documented, scalable, and aligned with quality standards • Partner with technical and non-technical stakeholders to frame analyses around business questions and strategic objectives • Present findings and recommendations through reports, presentations, dashboards, and documentation • Communicate progress, risks, dependencies, and blockers while building cross-functional relationships • Identify opportunities to automate recurring analyses and improve operational efficiency • Manage priorities across multiple assignments and track delivery using Jira and established team processes • Document best practices and mentor junior team members and interns

🎯 Requirements

• 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 • Strong written and verbal communication skills • Ability to take ownership of deliverables, manage priorities, and produce scalable, high-quality analytical solutions with moderate autonomy • Advanced proficiency with Python and SQL • Advanced proficiency with BigQuery • Experience working with modern ML 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 • Experience working in an Agile environment and using Jira or similar tools to manage and track work is preferred • Experience mentoring junior team members or interns is preferred

🏖️ Benefits

• Work/life flexibility • Resources for teams across the globe to collaborate and drive excellence • Professional development support and career development and growth opportunities • Mentoring and knowledge-sharing opportunities • Occasional in-person attendance at work-related events may be supported as part of the remote arrangement

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