Data Analyst

• Analyze the global scientific landscape, publishing business and content acquisition processes through data
• Apply business knowledge, quantitative methods and storytelling to support data-driven decision-making
• Design and deploy key metrics to measure different aspects of the business
• Create and maintain analytics products for data querying and self-service
• Create and maintain dashboards to track metrics and visualize insights
• Partner with cross-functional teams on deep-dive research projects to uncover trends, opportunities and threats
• Promote data literacy and help drive a data mindset across the company
• Support digital products throughout their lifecycle, from planning and analysis to delivery and operations
• Connect with Technology, Business and User Research functions to deliver organizational value

• Design dashboards, compliance metrics, and regulatory reports
• Turn data into actionable insights for stakeholders, cross-functional partners, and regional compliance officers
• Automate end-to-end compliance-related data solutions, governance controls, and workflows
• Analyze large, complex datasets and develop scalable, audit-ready data models
• Translate regulatory and business requests into reports and automated data pipelines using Python, SQL, dbt, and Airflow
• Lead cross-functional projects with analysts, engineers, and compliance teams
• Build and maintain high-quality data pipelines and data sources
• Coordinate client data quality monitoring, identify issues, flag remediations, and ensure timely resolution
• Support ad-hoc data requests for audits, examinations, risk assessments, and business needs
• Deliver clear, data-driven insights that shape compliance direction

Data Analyst – Regulatory Analytics and Reporting

• Gather, analyse, and translate business requirements into functional and technical specifications
• Collaborate with business stakeholders, development, data, and architecture teams
• Support solution delivery, functional testing, and validation of deliverables
• Produce functional documentation, processes, and performance indicators

Business Data Analyst

• Lead a small team of analysts embedded in product squads
• Serve as the hands-on analyst for Monetization
• Handle tracking for new features, conversion-funnel experiments, and squad reporting
• Set an example for analytical problem-solving and technical work
• Define and enforce data quality testing across ingestion, transformation, reporting, and anomaly detection
• Move data-quality ownership upstream to teams producing the data
• Own the path from raw event data to curated datasets in the self-service BI tool
• Develop the strategy for how product managers and engineering managers use data in decision-making
• Help the Monetization team optimize conversion and revenue

Data Analytics Team Lead

• Build and maintain an accurate view of workforce composition, allocation, cost, and capability across Global Platforms
• Track organisational structure, role types, squad/platform allocation, location, cost centre, skills, and capability profiles
• Provide insight into resource distribution against strategic priorities
• Track time spent across capitalised delivery, operational activity, and training/development
• Align reported effort, financial capitalisation, and delivery plans
• Identify and resolve inconsistencies between engineering, finance, and planning views
• Govern vacancy creation and conversion, new headcount approvals, and actual recruitment
• Maintain an auditable view of workforce evolution and support workforce-planning scenario modelling
• Partner with Finance to track workforce costs against budget and align headcount, allocation, and financial forecasts
• Provide leadership with reconciled views of spend versus plan
• Define and track operational ratios, including engineering/product/support, build/run, and seniority mix
• Identify opportunities to improve operating-model efficiency and effectiveness
• Own and evolve the People Data ecosystem, including pipelines across HR, Finance, and Engineering systems, dashboards, and reporting layers
• Design scalable AI-enabled approaches to automate insight generation, improve data quality, and enable leadership self-service
• Reduce manual reporting overhead and dependency risks
• Act as a trusted partner to Global Platforms leadership
• Translate complex data into clear narratives, actionable insights, and decision-ready outputs
• Support strategic initiatives with workforce data and modelling

Senior Data Analyst

• Provide essential support to the Digital Products & Innovation department through data analysis tasks
• Organize large amounts of data
• Define trends and patterns
• Support data architects on projects
• Conduct complex data analysis and report on results
• Interpret trends and patterns
• Evaluate business needs and objectives
• Analyze and organize raw information from different sources
• Build data systems, pipelines, algorithms, and prototypes
• Develop analytical tools and programs
• Explore ways to enhance data quality and reliability
• Prepare data for prescriptive and predictive modeling
• Identify opportunities for data acquisition
• Collaborate with data scientists and architects on several projects