Data Science and Analytics Analyst

• 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

• 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

• 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