Senior Manager, Data & BI at FutureLearn

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

0.0

Posted On

04 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Data Engineering, Statistical Modelling, Data Governance, Business Intelligence, Data Architecture, SQL, Data Transformation, Python, Stakeholder Management, Communication, Data Visualisation, ETL, Salesforce, Higher Education, Cloud Data Warehouses

Industry

E-Learning

Description

At FutureLearn, we’re passionate about the power of lifelong learning. We help learners from all over the world progress in their careers – and invest in their futures. We truly believe that up-skilling is a worthy investment, and we hope to empower our learners to take control of their careers through personalised learning pathways – giving them progress at their fingertips. Partnering with 260+ world-class educational partners, including prestigious universities, global brands and industry partners, we offer our 20 million-strong learner community the opportunity to discover and access flexible, high-quality online courses and degrees. We’re not here just to teach new skills (although we do that well), we want to help transform lives. FutureLearn is looking to build our teams with people who share our passion for lifelong learning, career empowerment and education for all. If that sounds like you, get in touch. You could help us achieve our biggest goal yet – becoming the world’s best AI-powered, career-based learning platform and OPM. What is the opportunity? The Senior Manager, Data & BI will lead the company's data analysis function with data engineering reporting into it. This role is responsible for the overall data strategy, team leadership, and ensuring high-quality, actionable insights are delivered across the organisation. They will maintain a strategic overview of the data architecture necessary to support this function. What does success look like: Data Strategy & Leadership Establish the vision, priorities, and roadmap for the central data analysis and data science function. Build and lead a high-performing team of Data Analysts and eventually manage a Data Engineer to ensure the team has the necessary skills and support. Drive the use of data analysis and statistical modelling to inform product development, marketing effectiveness, and business operations. Support the Marketing team in developing and implementing automated, AI-assisted marketing campaigns and personalised user recommendations based on deep data insights. Insight Generation & Communication Serve as the principal expert for data interpretation, translating complex findings into clear, actionable recommendations for senior leadership. Provide performance data and up-to-date dashboards for Sales and Marketing teams to track progress against targets and adjust strategy accordingly. Collaborate with the Academic team to monitor learner progress and build systems that enable the team to provide proactive support. Own and champion the use of Business Intelligence tools (Power BI, Looker) to ensure self-serve capabilities are maximised across the business. Provide strategic input on data requirements for both the learning platform and Higher Education Services, specifically supporting the Academic team in providing required data returns to HESA. Data Governance & Quality Champion data governance best practices, focusing on data quality, privacy, and responsible use across the business. Ensure all analysis and reporting adhere to ethical standards and maintain an awareness of privacy issues, anonymity, and pseudonymity. Collaborate with the underlying Data Engineering function to ensure the data platform is structured and managed optimally for analytical speed and efficiency. What you bring to the table: Analytical & Leadership Expertise Overall 4+ years commercial data analytics experience, at least a year in a senior or managerial position. Proven ability to define and drive an organisation's analytical agenda using statistical methods and data science techniques. Excellent knowledge and hands-on experience with data transformations through Sql/ dbt, data modelling and modern visualisation tools like Looker and Power BI. Experience with Python would be an advantage. Strong communication, stakeholder management, and ability to influence decision-makers. An awareness of higher education (HESA) data reporting would be advantageous. Technical Context & Systems Awareness A strong high-level understanding of data architecture concepts and the capabilities of cloud data warehouses, especially Snowflake. Awareness of ETL and data orchestration concepts, enabling effective collaboration with the Data Engineering team. Familiarity with Salesforce reporting and integration would be advantageous. What happens next? Ready to go for it? Click 'Apply', include your CV and tell us why you'd like to become a FutureLearner, and how you’ll nail this role. Recruitment Process Please contact jobs@futurelearn.com if you require any reasonable adjustments or alterations to be made to support you through the recruitment process. Diversity Statement We value all the great benefits that diversity brings and encourage everyone to bring their whole self to work – At FutureLearn we are proud to have Diversity and Inclusion at the centre of everything we do. We are committed to Equal Employment Opportunity regardless of race, colour, national origin, ethnicity, gender, age, disability, sexual orientation, gender identity or religion. We can't wait to meet you! #FutureLearnCareers

Responsibilities

The Senior Manager, Data & BI will lead the company's data analysis function and oversee data engineering. They will establish the vision for data strategy and ensure actionable insights are delivered across the organization.