Head of Analytics and Data Science

BlueSteps Connect; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

BlueSteps Connect is seeking a Head of Analytics and Data Science to lead analytics and data science efforts and guide how data-driven insights are developed and applied to business decisions.

The role will set priorities for data science and analytics projects, drive cross-functional collaboration to translate business needs into analytical approaches, and ensure that models and insights are delivered in a clear, actionable way to improve measurement and performance.

Qualifications

• Experience leading analytics teams and data science initiatives.
• Ability to translate business needs into analytical approaches.
• Strong communication of insights and recommendations.

Responsibilities

• Lead analytics and data science efforts across the organization.
• Set priorities for projects and drive strategic analytics direction.
• Coordinate cross-functional collaboration to deliver actionable insights.
• Improve analytics processes and data quality standards.
• Ensure models and insights are clearly communicated to decision-makers.

Skills

Leadership

Analytics strategy

Cross-functional collaboration

Data science

Statistical modeling

Communication

Job description

the client is seeking a Head of Analytics and Data Science to lead analytics and data science efforts and guide how data-driven insights are developed and applied. This role will oversee the strategic direction of analytics initiatives and support decision-making through scalable, high-quality analytical work.

The Head of Analytics and Data Science will be responsible for setting priorities for data science and analytics projects, improving analytics processes, and ensuring that models and insights are delivered in a clear, actionable way. The role will also coordinate cross-functional collaboration to translate business needs into analytical approaches and to drive continuous improvement in measurement, performance, and data-driven outcomes.

The ideal candidate will have demonstrated leadership in analytics and data science, along with strong capability in applying statistical and modeling techniques to real-world problems. They should be able to communicate insights effectively, manage and mentor analytics talent, and ensure results align with organizational goals while maintaining appropriate standards for data quality and responsible analysis.