Director - Analytical Engineering

Job Summary

Are you passionate about data architecture and analytics solutions?

Do you thrive in leading high-performing teams while staying hands-on with cutting-edge technologies?

If so, join Charles River's global Data & Analytics organisation as our next Director of Analytics Engineering.

We are seeking a strategic yet technical leader to manage a team of Data Analysts and Analytics Engineers, driving enterprise analytics initiatives that deliver actionable insights across global business functions.

This role combines leadership, solution design, and stakeholder engagement to enable scalable reporting and data-driven decision-making.

• Lead & Mentor:
  Manage and develop a team of 4 - 7 Data Analysts and Analytics Engineers, fostering a culture of collaboration, innovation, and continuous improvement.
• Strategic Planning:
  Partner with business and IT leadership to define the analytics strategy and roadmap, aligning with enterprise data initiatives.
• Hands-On Delivery:
  Contribute to solution design and development, including data modeling, Power BI/Fabric reporting, and integration with enterprise data platforms.
• End-to-End Execution:
  Drive projects from requirements gathering and process design through to production deployment in a cloud environment.
• Business Partnership:
  Translate complex business challenges into analytical solutions, present insights and recommendations to senior stakeholders, and champion data-driven decision-making.
• Technical Product Ownership:
  Act as product owner within Agile teams, ensuring delivery of high-quality, scalable analytics solutions.
• Standards & Best Practices:
  Define UX and data visualisation standards, optimise processes, and promote adoption of modern tools and technologies.
• Global
  
  Collaboration:
  
  Manage initiatives across multiple time zones, primarily U.S.
  
  -based teams, in a matrix environment.

This is offered as a fully remote role.

• Education:
  
  B.Sc. / M.Sc. in Computer Science, Mathematics, or related field;
  Master’s preferred.
• Leadership
  
  Experience:
  
  Proven track record of building and leading high-performing technical teams in a data or analytics organisation.

• Advanced Power BI and Microsoft Fabric experience, including SSAS design and expert DAX skills.
• Strong knowledge of Azure cloud services and data integration architectures.
• Hands-on experience with data visualisation, report development, and enterprise data modelling.
• Business Acumen:
  Ability to analyse complex business challenges and translate them into actionable solutions.

• Skilled in Agile practices and managing multiple concurrent initiatives under tight deadlines.

• Experience with Python and data science concepts.
• Deep understanding of data warehousing and BI analytics.
• Familiarity with SAP or similar ERP systems.

• Competitive benefits package.
• Generous company pension scheme.
• Private healthcare and dental coverage.
• Performance bonuses.
• Employee discount programs.