Pearson
Principal, Data Analytics & Business Intelligence
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Principal, Data Analytics & Business Intelligence
Data Analytics Lead – RevOps Sales Intelligence
Location: Remote (or specified job location) Organization: Pearson, Chief Business Office Schedule: Full-time
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
- Strategic decision-making
The ideal candidate is passionate about leveraging: ✔️ Modern analytics platforms ✔️ Automation ✔️ Generative AI ✔️ Data storytelling …to improve business outcomes, enhance productivity, and accelerate innovation across the organization.
Key Responsibilities
Data Analytics & Business Intelligence
- 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
- Business health metrics
- Ensure data quality, governance, consistency, and reporting accuracy across 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
- Executive Leadership
- Present insights, recommendations, and strategic narratives effectively to both technical and non-technical audiences.
- Foster a culture of:
- Innovation
- Experimentation
- Continuous learning
- Operational excellence
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Data Platform & Technical Excellence
- Work with modern cloud data platforms, including:
- Microsoft Azure
- Databricks
- SQL Server
- Power BI
- Microsoft Fabric
- Related ecosystems.
- Optimize:
- Data pipelines
- Semantic models
- Reporting performance
- 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 to:
- Improve analytics efficiency
- Enhance business insights
- Boost operational productivity.
- Leverage:
- Generative AI
- Copilot technologies
- Machine learning
- 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
- Industry trends …to inform innovation strategy and roadmap planning.
- Build proof-of-concepts (POCs) and scalable AI solutions with:
- Measurable business impact
- High user adoption.
- Champion responsible AI practices, including:
- Governance
- Compliance
- Security
- Ethical data usage.
Requirements
Education
- Bachelor’s degree in:
- Data Analytics
- Computer Science
- Statistics
- Information Systems
- Engineering
- OR a related field.
Experience
- 7+ years in data analytics, business intelligence, or related analytical roles.
Technical Skills
- Strong expertise in:
- SQL
- KQL
- At least one analytics/programming language (Python or R).
- Proven experience with BI and visualization tools:
- Power BI
- Tableau (including AI-driven reporting capabilities).
- Experience working with cloud data platforms:
- Azure
- AWS
- GCP.
Soft Skills
- Analytical thinking, problem-solving, and stakeholder management skills.
- Excellent communication, storytelling, and executive presentation abilities.
Preferred Qualifications
(Additional strengths that would be beneficial)
- Experience with:
- Microsoft Fabric
- Databricks
- Copilot technologies
- Machine learning platforms.
- Knowledge of:
- Generative AI
- LLM applications
- Prompt engineering
- 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.
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Success Metrics
- Accelerated business decision-making through timely, actionable insights.
- Increased automation and analytics efficiency via 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.
Note: #LB-LB1 – Job Reference ID
Who We Are: Pearson’s Mission
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world’s lifelong learning company. For us, learning isn’t just what we do—it’s who we are.
Visit We are Pearson to learn more.
** pearson pollution awareness. as an equal opportunity employer and member of eve verify we adopt a zero-tolerance approach to workplace discrimination, harassment, and retaliation from all candidates, applicants, and employees . at pearson we are committed to inclusion, diversity, equity, and belonging. we are proud to offer equal opportunity to all individuals in regard to all terms and conditions of employment. it is the obligation of each applicant to read, understand, and agree to pearson’s foundation principles . to the extent requested by law and/or government authorities, we may share employment information and associated screening specifics with relevant agencies or services for verification purposes. by applying and/or conducting any part of this process, you agree that we are not obligated to maintain any confidentiality in regard to employment decisions. we welcome applications from protected veterans, disabled candidates, and qualified applicants who are members of any EOE/AA/Affirmative Action protection categories thereby protected by applicable federal laws. qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status, or any other group protected by law. pearson actively seeks qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.**
If you encounter any issue accessing our career portal, email TalentExperienceGlobalTeam@grp.pearson.com for reasonable accommodations. Pearson is committed to fostering an inclusive environment.
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