Job Description

Data Analyst – Pearson Software Group About the Role At Pearson, we are the world’s digital learning company with more than 24,000 employees operating in 70 countries. We lead the education technology industry in design, service, and innovation. We are committed to bringing life to a lifetime of learning and to our talented team who make it all possible. By creating effective, engaging solutions, we provide boundless opportunities for learners at every stage of their journey around the world. We achieve this through cutting-edge technology, uncompromising service, and high-quality products that are engaging and easy to use. We are seeking a strategic and hands-on product interaction analyst to drive our product analytics, telemetry, and instrumentation efforts. This role will be responsible for defining and implementing best-in-class telemetry frameworks, capturing meaningful product usage data, and transforming those insights into actionable recommendations for product development, design, and executive decision-making. The ideal candidate is fluent in both data and product, passionate about measurement, and able to translate analytics into business impact. This role will focus on turning data into insights and actions to work with our higher education courseware products team. This is an opportunity to have a significant impact on the success of market-leading learning products and on millions of people worldwide seeking to enrich their lives through learning. We are looking for strong critical thinking skills, the ability to navigate various data environments, hands-on technical ability in data, creative problem solving, persistent exploration, and a drive to understand our business. The successful candidate will collaborate with various teams (product, engineering, marketing, design) to understand data needs, implement data instrumentation, analyze data using tools like Tableau, Python, Excel, etc., and communicate insights effectively. The role involves close interaction with product management, user design groups, data warehouse developers, data architects, and software development teams. Strong communication and interpersonal skills are critical, along with a proactive and persistent attitude in navigating ambiguity. Pearson is an Equal Opportunity and Affirmative Action Employer and a member of E-Verify. All qualified applicants, including minorities, women, veterans, and people with disabilities, are encouraged to apply. What You'll Do Partner with Product, Engineering, and Design teams to define and implement instrumentation strategies across courseware products Design and maintain a scalable telemetry architecture to capture meaningful user behavior and system performance metrics Translate product goals into KPIs and data requirements, ensuring consistent tracking and tagging Own and evolve the event taxonomy and data governance practices for product analytics Build dashboards, reports, and analyses to surface key trends, identify user friction, and support product decisions Lead deep-dive analysis on product features, experiments, and user cohorts to inform roadmaps Collaborate with Data Engineering to ensure reliable data pipelines and standardized reporting Promote a data-informed culture through education, enablement, and tooling Monitor data quality and tracking integrity, proactively resolving gaps or anomalies Develop and validate creative solutions to business and customer problems using data Define requirements, design solutions, and communicate insights effectively to stakeholders Create and maintain reporting tools, dashboards, and data documentation Leverage data to understand product performance and identify improvement opportunities Support product ideation and feature launch decisions with data-driven insights Communicate findings and recommendations to senior management and cross-functional teams Support data quality through documentation, processes, monitoring, and governance Lead data collection and analysis efforts from scratch, building data requirements, instrumentation, and insights Assist fellow analysts and data scientists in solving data problems and ensuring data quality Expected Results Delivery of analysis and insights across features and products Development of intuitive data tools and reports that support decision-making Strong collaborative relationships with internal stakeholders Fostering a problem-solving culture focused on data quality and efficiency Qualifications At least 4 years in a highly analytical or quantitative role or related work experience Knowledge of statistics, machine learning, optimization, economics, and analytics fundamentals Ability to interpret business goals and translate into KPIs Proficiency in explaining complex data concepts to varied audiences Strong problem-solving, organization, and time management skills Experience in data visualization design and development Experience working closely with cross-functional product teams Proficiency in SQL (Google BigQuery, Snowflake) and data visualization tools like Tableau Experience with Tableau, Google BigQuery, Mixpanel, Snowflake, Google Tag Manager, Excel Data Analysis, and Visualization Proficiency in Python; familiarity with Dash is a plus Effective communication of technical and non-technical concepts #J-18808-Ljbffr Pearson - UK

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