Requirements

• Bachelor’s or master’s degree in mathematics, statistics, data science, computer science, economics, or related technical field; or equivalent related professional experience.
• Demonstrated experience using data in a previous role, academic project, or personal project to create dashboards, reports, or data science products that provide useful insights.
• Beginner-level experience with SQL, Python, R, or similar languages for data analysis, including filtering, joining, transforming, and summarizing data.
• Understanding of fundamentals of descriptive statistics, probability, regression, and measurement, and ability to apply them to business questions with support.
• Ability to communicate analytical approaches and findings clearly to both technical and non-technical partners, using concise written and verbal storytelling.
• Curious, collaborative, open to feedback, and willing to learn visualization tools such as Tableau and new data sources as needed.

What You'll Be Doing

• Extract, structure, and combine data from multiple sources to support analysis and model development.
• Apply descriptive statistics, probability, and basic statistical methods to investigate business questions, with guidance from manager and senior teammates.
• Build clear charts, dashboards, and reports that follow sound visualization principles and communicate insights rather than just data.
• Perform data quality checks, document analytical code, and participate in peer reviews to ensure reliable results.
• Collaborate transparently with stakeholders and analytics teammates to gather information, learn the business domain, and unblock data questions.