• Own assigned analytics and data science workstreams from problem definition through delivery, translating business requirements into analytical approaches, models, dashboards, and actionable insights.

• Build, validate, maintain, and document analytical solutions that support business decision-making and deliver measurable business impact.

• Apply statistical analysis, machine learning, Python, SQL, BigQuery, and modern analytics libraries to solve complex business problems.

• Ensure analytical outputs are reproducible, well documented, scalable, and aligned with established quality standards.

• Partner with technical and non-technical stakeholders to frame analyses around business questions, strategic objectives, and intended outcomes.

• Present analytical findings and recommendations clearly through reports, presentations, dashboards, and documentation tailored to stakeholder needs.

• Communicate progress, risks, dependencies, and blockers in a timely manner while building productive cross-functional working relationships.

• Identify opportunities to automate recurring analyses, improve operational efficiency, and strengthen analytical processes through continuous learning and innovation.

• Manage priorities across multiple assignments, use Jira and established team processes to track delivery, and share knowledge by documenting best practices and mentoring junior team members and interns.

• 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, including their application to analytical business problems.

• Strong written and verbal communication skills, with the ability to explain analytical findings to technical and non-technical stakeholders.

• Demonstrated ability to take ownership of deliverables, manage priorities, and produce scalable, high-quality analytical solutions with moderate autonomy.

Required Technical Skills

• Advanced proficiency with Python and SQL.

• Advanced proficiency with BigQuery.

• Experience working with modern ML (Machine Learning) 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.

Preferred Skills

• Experience working in an Agile environment and using Jira or similar tools to manage and track work.

• Experience mentoring junior team members or interns.