Data Analytics and Automation Specialist

About Pearson 

Pearson is the world’s leading learning company, with expertise in educational courseware, assessment, and a range of teaching and learning services. Our purpose is to help everyone achieve their potential through learning. We believe that learning opens opportunities, creating fulfilling careers and better lives. 

We Value Diversity and Inclusion. We value the power of an inclusive culture, so we embed diversity and inclusion in everything we do. Pearson promotes a company culture where differences are embraced as strengths, opportunities are equal and accessible, consideration and respect are the norm, and all employees are given the chance to reach their full potential.  

Through our talent, we believe that diversity and inclusion make us a more innovative and vibrant company. People are at the centre of our company. We are committed to a sustainable environment and workplace ecosystem where talent can learn, grow, and thrive.  

Learn more at https://www.pearson.com/careers/diversity-and-inclusion.html.  

About Role

The role sits with International Higher Education Data Team.  The role focuses on enhancing our data and reporting capabilities for International HE. 

We are looking for hands-on data and analytics specialist who can help International HE better leverage the power of our data assets, increase our ability to reliably predict the future using data, and help shape, scale, and build our analytics capabilities within the organisation. 

The role will help build a cross-integrated view of our data points that otherwise are disparate, siloed, and under-utilised – to drive business growth.  The role requires a strong analytical background, a curious mindset, and the ability to interact, challenge and influence credibly at all levels.  The role will have touchpoints across many different parts of the organisation and will often require navigating complexity that exist within our enterprise – in the form of structures, systems and platforms, and processes. 

Key Responsibilities

• Create visibility of our business through dashboarding and reporting.
• Develop analytics and data solutions to support both at tactical and strategic levels.
• Work with the business users to synthesise results and data points with a clear point of view to enable fact-based decision-making.
• Work closely with other teams in the organisation to leverage enterprise infrastructure and architecture to scale business and data initiatives conforming to the security, privacy, and business policies.
• Being an active member of the data community helping both business and fellow data community members advance and enhance our view and use of data.

Requirements 

• Strong knowledge of data, analytics, and automation
• Experience and proficiency in data engineering principles
• Proficient in Tableau (or any other Visualisation tool), KNIME / Alteryx, SQL, Excel. Python / R – an advantage.
• Experience of working with enterprise scale systems – preferably Oracle, Salesforce
• Understanding of cloud architecture such as Google Cloud Platform (GCP), Amazon Web Services (AWS)
• Extensive experience of working with very large datasets, building analytics and insights solutions
• Extensive experience of data visualisation and executive reporting
• Experience of leading or contributing to large and complex projects
• Strong business acumen and financial literacy
• Excellent verbal & written and presentation communication skills

Qualifications

• Educated to Degree-level or equivalent preferably in a numerate subject.  Master’s degree – an advantage.