Job Description

The Data Analytics Manager will lead a small team in delivering business reporting, dashboards, analytical tools, and predictive models to meet evolving business needs. This role will drive the analytics programme across our Academic business, playing a central part in Analytics and Business Intelligence development.
Working closely with colleagues across the Academic Division, you will provide Business Intelligence capabilities that support a data-driven business. You'll combine expertise in data technologies with a passion for delivering timely insights that inform decisions and help grow revenues. Knowledge of the academic publishing landscape-spanning books, higher education courseware, and journals-is highly desirable.
About the role
You will lead a small team of data analysts delivering excellent Business Intelligence tools for the Academic team to use in their day to day and strategic decision making. You will be

• Identifying analytics tools that are fit for purpose

• Intercepting requirements and scope for delivery from the business teams

• Setting priorities and managing work across the resource of the team.

• Negotiating additional support and resources from data engineering teams to ensure timely delivery of new capabilities.

• Providing expert insights into business trends and behaviours

• Interpreting data and creating insightful stories to support interactions with customers and publishing partners

• Providing leadership and professional development support for the team

• Contributing to the wider Data Strategy by championing the needs of the Academic department in this area.

We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package, featuring family-friendly and planet-friendly benefits including: * Group personal pension scheme * Discretionary annual bonus * Life assurance up to 4 x annual salary * Private medical and Permanent Health Insurance * Green travel schemes * 28 days annual leave plus bank holidays We also offer flexible and hybrid working options from day one. We will consider any work arrangements if you wish to work flexibly or require adjustments due to a disability.

• Demonstrable experience in data analytics and building effective tools for business stakeholders * Proficiency with range of Business Intelligence technologies, with the ability to manage and build supporting data pipelines * Hands-on coding experience with Python, SQL, Excel, and Dax, skilled at selecting the right tool for the right outcome * Familiarity with AI concepts and applications, keeping pace with evolving technologies * Proven ability in team planning and leadership, managing and motivating skilled data analysts * Strong stakeholder engagement skills, collaborating effectively across business functions * Excellent written and verbal communication, demonstrated through impactful presentations and reports to decision-makers

Skills Required