Director Analytical Engineering

Charles River; Remote; GBP 125,000 - 150,000; Full time

Job summary

A global leader in data analytics is seeking a Director of Analytics Engineering. This fully remote role involves managing a team, strategic planning, and hands-on delivery of analytics solutions. The ideal candidate has a strong background in data architecture, proven leadership experience, and advanced skills in Power BI and Microsoft Fabric. You will drive projects and design solutions that promote data-driven decision-making across global business functions.

Benefits

Competitive benefits package

Generous company pension scheme

Private healthcare and dental coverage

Performance bonuses

Employee discount programs

Qualifications

• Proven track record of building and leading high-performing technical teams in a data or analytics organisation.
• Experience with data visualisation, report development, and enterprise data modelling.
• Ability to analyse complex business challenges and translate them into actionable solutions.

Responsibilities

• Manage and develop a team of Data Analysts and Analytics Engineers.
• Partner with business and IT leadership to define the analytics strategy and roadmap.
• Contribute to solution design and development, including data modeling.
• Drive projects from requirements gathering to production deployment.
• Translate complex business challenges into analytical solutions.
• Act as product owner within Agile teams.
• Define UX and data visualisation standards.

Skills

Data architecture

Analytics solutions

Leadership

Collaboration

Agile practices

Education

B.Sc. / M.Sc. in Computer Science, Mathematics, or related field

Master’s preferred

Tools

Power BI

Microsoft Fabric

Azure cloud services

Python

Job description

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.

What You’ll Be Doing

• 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.

Qualifications

• 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.

Technical Expertise

• 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.

Methodologies

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

Preferred Skills

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

What We Offer

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