Data Analytics and Automation Specialist
Data Analytics and Automation Specialist

Data Analytics and Automation Specialist

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us to enhance data reporting and analytics for International Higher Education.
  • Company: Pearson is a global leader in learning, dedicated to helping everyone achieve their potential.
  • Benefits: Enjoy a hybrid work environment with opportunities for growth and development.
  • Why this job: Be part of a diverse team that values innovation and inclusivity while making a real impact.
  • Qualifications: Degree-level education in a numerate subject; experience in data analytics and automation required.
  • Other info: This role offers the chance to work with large datasets and enterprise-scale systems.

The predicted salary is between 36000 - 60000 £ per year.

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.

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.

Data Analytics and Automation Specialist employer: Pearson

At Pearson, we pride ourselves on being a leading employer that champions diversity and inclusion, fostering a culture where every employee can thrive and reach their full potential. As a Data Analytics and Automation Specialist, you will be part of a dynamic team dedicated to enhancing our data capabilities, with ample opportunities for professional growth in a supportive hybrid work environment. Our commitment to innovation and sustainability, combined with our focus on personal development, makes Pearson an exceptional place to build a meaningful and rewarding career.
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Contact Detail:

Pearson Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analytics and Automation Specialist

✨Tip Number 1

Familiarise yourself with the specific tools mentioned in the job description, such as Tableau, SQL, and Python. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.

✨Tip Number 2

Network with current or former employees of Pearson, especially those in data roles. They can provide insights into the company culture and the specific challenges faced by the International Higher Education Data Team, which can help you tailor your approach.

✨Tip Number 3

Prepare to discuss how you've previously handled large datasets and complex projects. Be ready to share specific examples that demonstrate your analytical skills and ability to drive business growth through data.

✨Tip Number 4

Showcase your understanding of diversity and inclusion in your conversations. Since Pearson values an inclusive culture, expressing your commitment to these principles can resonate well with the hiring team.

We think you need these skills to ace Data Analytics and Automation Specialist

Data Analytics
Data Engineering Principles
Proficiency in Tableau or other Visualisation Tools
KNIME / Alteryx
SQL
Excel
Python or R
Experience with Enterprise-Scale Systems (e.g., Oracle, Salesforce)
Understanding of Cloud Architecture (GCP, AWS)
Experience with Large Datasets
Data Visualisation
Executive Reporting
Project Management
Strong Business Acumen
Financial Literacy
Excellent Communication Skills (verbal, written, presentation)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data analytics and automation. Focus on your proficiency with tools like Tableau, SQL, and Python, and include specific examples of projects where you've successfully leveraged data to drive decision-making.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it can transform educational outcomes. Mention your understanding of Pearson's commitment to diversity and inclusion, and explain how your background aligns with their values.

Showcase Your Analytical Skills: Provide concrete examples of how you've used data to solve complex problems or improve processes in previous roles. Highlight any experience you have with large datasets and your ability to create insightful reports and dashboards.

Prepare for Potential Assessments: Be ready for possible assessments that may test your technical skills in data analysis and visualisation. Brush up on your knowledge of data engineering principles and be prepared to discuss your approach to building analytics solutions.

How to prepare for a job interview at Pearson

✨Showcase Your Analytical Skills

Prepare to discuss specific examples of how you've used data analytics in previous roles. Highlight your experience with tools like Tableau, SQL, and Python, and be ready to explain how you approached complex data challenges.

✨Understand Pearson's Values

Familiarise yourself with Pearson's commitment to diversity and inclusion. Be prepared to discuss how you can contribute to an inclusive culture and how your unique background can add value to the team.

✨Demonstrate Business Acumen

Be ready to talk about how your analytical insights have driven business decisions in the past. Show that you understand the importance of aligning data solutions with strategic business goals.

✨Prepare for Technical Questions

Expect technical questions related to data engineering principles and cloud architecture. Brush up on your knowledge of enterprise-scale systems like Oracle and Salesforce, and be prepared to discuss your experience with large datasets.

Data Analytics and Automation Specialist
Pearson
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