Senior Analyst, Data Science and Analytics
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Job Description
Sr Data Science Analyst developing scalable analytics and AI solutions for TransUnion. Applying Python, SQL, BigQuery, statistics, and machine learning to business problems.
Responsibilities:
- 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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