At a Glance
- Tasks: Lead advanced analytics and AI-driven initiatives to transform data into actionable insights.
- Company: Join Pearson, a leader in innovative learning solutions and technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment focused on innovation and continuous learning.
- Why this job: Make a real impact by leveraging cutting-edge analytics and AI technologies.
- Qualifications: 7+ years in data analytics with strong SQL and programming skills.
The predicted salary is between 80000 - 100000 £ per year.
About Pearson
Pearson is committed to a world that’s always learning and to the talented people who make it possible. From bringing lectures vividly to life to transforming textbooks into digital learning experiences, we continuously reimagine how people learn best—whether supporting one learner locally or entire education communities globally. We are bold thinkers and innovative problem-solvers who inspire each other to explore new frontiers in technology, analytics, and learning. By pushing the boundaries of innovation—and challenging ourselves to go further—we create meaningful solutions that empower learners, educators, and organizations around the world.
About the Role
We are seeking a highly skilled and strategic Data Analytics Lead to lead advanced analytics, business intelligence, and AI-driven transformation initiatives within the RevOps Sales Intelligence organization. This role combines deep analytical expertise, business acumen, leadership, and emerging AI capabilities to transform complex data into actionable insights and scalable intelligent solutions that drive sales performance, operational excellence, and strategic decision-making. The ideal candidate is passionate about leveraging modern analytics platforms, automation, Generative AI, and data storytelling to improve business outcomes, enhance productivity, and accelerate innovation across the organization.
Key Responsibilities
- Lead the design, development, and delivery of scalable analytics solutions, executive dashboards, KPIs, and operational reporting.
- Translate complex business questions into analytical frameworks, actionable insights, and data-driven recommendations.
- Partner with Sales, RevOps, Finance, Product, and Leadership stakeholders to identify opportunities for business optimization and growth.
- Perform advanced data analysis using SQL, KQL, Python, Power BI, Microsoft Fabric, Databricks, or similar technologies.
- Develop forecasting models, performance measurement frameworks, trend analysis, and business health metrics.
- Ensure data quality, governance, consistency, and reporting accuracy across multiple enterprise systems.
- Drive self-service analytics capabilities and data democratization initiatives.
Leadership & Collaboration
- Manage prioritization, roadmap planning, and execution across multiple analytics and AI initiatives.
- Collaborate cross-functionally with Engineering, Data Science, Operations, Product, Finance, and Executive Leadership teams.
- Present insights, recommendations, and strategic narratives effectively to both technical and non-technical audiences.
- Foster a culture of innovation, experimentation, continuous learning, and operational excellence.
Data Platform & Technical Excellence
- Work with modern cloud data platforms including Microsoft Azure, Databricks, SQL Server, Synapse, Microsoft Fabric, and related ecosystems.
- Optimize data pipelines, semantic models, reporting performance, and enterprise BI architecture.
- Contribute to analytics best practices, scalable data solutions, and long-term modernization initiatives.
AI Innovation & Automation
- Identify and implement AI-driven opportunities that improve analytics efficiency, business insights, and operational productivity.
- Leverage Generative AI, Copilot technologies, machine learning, and automation solutions to modernize reporting and workflow processes.
- Partner with engineering and data science teams to operationalize scalable AI-powered analytics solutions.
- Evaluate emerging AI technologies, analytics platforms, and industry trends to inform innovation strategy and roadmap planning.
- Build proof-of-concepts (POCs) and scalable AI solutions that drive measurable business impact and user adoption.
- Champion responsible AI practices, governance, compliance, security, and ethical data usage.
Required Qualifications
- Bachelor’s degree in Data Analytics, Computer Science, Statistics, Information Systems, Engineering, or a related field.
- 7+ years of experience in data analytics, business intelligence, or related analytical roles.
- Strong expertise in SQL, KQL, and at least one analytics/programming language such as Python or R.
- Proven experience with BI and visualization tools such as Power BI and Tableau, including AI-driven reporting capabilities.
- Experience working with cloud data platforms such as Azure, AWS, or GCP.
- Strong analytical thinking, problem-solving, and stakeholder management skills.
- Excellent communication, storytelling, and executive presentation abilities.
Preferred Qualifications
- Experience with Microsoft Fabric, Databricks, Copilot technologies, or machine learning platforms.
- Knowledge of Generative AI, LLM applications, prompt engineering, and AI automation workflows.
- Experience leading enterprise-scale analytics modernization or digital transformation initiatives.
- Familiarity with Agile methodologies and product operating models.
- Experience supporting Sales, Revenue Operations, or Commercial Intelligence organizations preferred.
Success Metrics
- Accelerated business decision-making through timely, actionable insights.
- Increased automation and analytics efficiency through AI innovation and modern analytics solutions.
- Delivery of scalable, high-quality dashboards, reporting, and data products.
- Improved stakeholder satisfaction and cross-functional collaboration.
- Enhanced adoption of self-service analytics and AI-enabled capabilities.
- Measurable business impact through scalable, governed, and insight-driven solutions.
Principal, Data Analytics & Business Intelligence employer: Pearson
At Pearson, we foster a dynamic and inclusive work culture that champions continuous learning and innovation. As a Principal in Data Analytics & Business Intelligence, you will have the opportunity to lead transformative projects that leverage cutting-edge technologies, while collaborating with diverse teams across the globe. Our commitment to employee growth is reflected in our robust professional development programmes and the chance to make a meaningful impact in the education sector.
StudySmarter Expert Advice🤫
We think this is how you could land Principal, Data Analytics & Business Intelligence
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Pearson!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Principal, Data Analytics & Business Intelligence
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Pearson, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Pearson
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Pearson’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
