Data Science and Analytics Analyst
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Job Description
Data science analyst developing statistical and programming solutions at TransUnion, a global information and insights company. Supporting reliable analytics outputs and actionable business decisions.
Responsibilities:
- 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
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