Data Analytics and Automation Specialist

Pearson; United Kingdom; Hybrid; GBP 40,000 - 70,000; Full time

Job description

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 the International Higher Education Data Team and focuses on enhancing our data and reporting capabilities for International HE.

We are looking for a 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 are otherwise 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. It will have touchpoints across many different parts of the organisation and will often require navigating complexity that exists 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 tactical and strategic levels.
• Work with 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 security, privacy, and business policies.
• Be 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 is an advantage.
• Experience working with enterprise-scale systems - preferably Oracle, Salesforce.
• Understanding of cloud architecture such as Google Cloud Platform (GCP), Amazon Web Services (AWS).
• Extensive experience working with very large datasets, building analytics and insights solutions.
• Extensive experience in data visualisation and executive reporting.
• Experience 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; a Master's degree is an advantage.

Who we are:

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. To learn more: We are Pearson.

Pearson is an Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We want a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. All employment decisions are based on qualifications, merit, and business need. All 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. We strive for a workforce that reflects the diversity of our communities.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing [e-mail].

Note that the information you provide will stay confidential and will be stored securely. It will not be seen by those involved in making decisions as part of the recruitment process.

Job: TECHNOLOGY

Organization: Higher Education

Schedule: FULL_TIME

Workplace Type: Hybrid

Req ID: 18773

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