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 be focused on turning data into insights and action to work with our higher education courseware products team. This is an opportunity to have a significant, direct impact on the success of market-leading learning products and on millions of people all over the world that seek to enrich their lives through the power of 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 be a thought partner to our customers (product, engineering, marketing, design, etc.) and will assist them in understanding data and generating further insights. This individual will dig into requirements for new data instrumentation that needs to be implemented, raw and processed data (warehouses, backend DBs, Mixpanel, and event/message data), transform information into visualizations using Tableau, Python, Excel, etc., and effectively articulate the story behind the data. 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, as is a spirit to roll up your sleeves and persistently navigate 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 clear 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 ad hoc 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 roadmap prioritization 

Collaborate with Data Engineering to ensure clean, reliable data pipelines and standardized reporting 

Evangelize a data-informed culture across Product and Engineering teams through education, enablement, and scalable tooling 

Monitor data quality and tracking integrity, proactively identifying and resolving gaps or anomalies 

· Partner with product, engineering and experience design colleagues to develop & validate creative solutions to customer & business problems that create significant impact. 

· Drive clarity and solve ambiguous problems using data-driven approaches. 

· Propose and guide the framework of data analysis to drive product insights and facilitate decisions.  

· Collaborate with product teams to develop data requirements, effectively communicate and collaboratively solution those data requirements with data engineering teams. 

· Lead the creation of reporting requirements, work to track back on the data that is required for reporting, coordinate technology teams to deliver that data, and create the subsequent dashboards to monitor product health and surface leading and lagging indicators (typically in Tableau). 

· Leverage data to understand the product performance and to identify improvement opportunities and help cross-functional product teams to understand the same.  

· Provide recommendations to assist quick product ideation and feature launch decisions. Be an active contributor in the creation of the product roadmaps. 

· Communicate with senior management and partner closely with cross-functional teams. 

· Help create and maintain the plan, schedules, and other documentation required to effectively manage deliverables. Contribute to Pearson data quality through documentation, process, monitoring, and governance. 

· Be undaunted by ambiguity and persistent in defining requirements and creative in designing solutions. 

· Wrangle and clean data as needed. 

· Be a key leader with the team building product interaction from scratch through the data requirements, instrumentation, and data processing phases to insights. 

· Support fellow data analysts and data scientists to solve data problems, solve customer and product problems with data, govern quality data, and connect data problems with technical solutions. 

 

Expected Results:  

· Analysis and insights delivered across features and products  

· Smart, intuitive data/insight tools/reports that promote data-driven decision making  

· Strong collaborative relationships with our internal stakeholders 

· A collaborative culture of problem solving focused on data quality to drive efficiency 

 

Qualifications 

· 4 years in a highly analytical or quantitative function or 4 years’ related work experience 

· Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics 

· Ability to interpret business goals and translate them into KPIs 

· Proficient at making complex data concepts understandable with all levels of product teams and engineering teams 

· Persistence in creative problem solving, organization, and time management 

· Experience in data visualization design and development 

· Experience working very closely with cross-functional product teams and building strong relationships 

· Ability to write SQL in Google Big Query and Snowflake and create beautiful data visualizations with Tableau 

· Experience with Tableau, Google Big Query, Mixpanel, Snowflake, Google Tag Manager, Microsoft Excel Data Analysis, and Visualization.  

· Proficiency in Python and code-based applications like Dash a plus 

· Effectively communicate technical concepts to non-technical audiences and represent non-technical concepts to technical audiences