Data Science and Analytics Analyst
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Job Description
Data science analyst developing statistical and machine-learning analytics solutions for TransUnion. Preparing validated data, communicating insights, and supporting business decisions with cross-functional teams.
Responsibilities:
- 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
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