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- Tasks: Join us as a Senior Data Analyst, ensuring data integrity and enhancing analytics.
- Company: Pearson is a leading education company dedicated to enriching learning experiences globally.
- Benefits: Enjoy 25 days annual leave, private pension, flexible working, and wellness programmes.
- Why this job: Be part of innovative projects that impact education worldwide while working in a supportive culture.
- Qualifications: Experience with complex data projects and strong communication skills are essential.
- Other info: Hybrid working model with occasional travel; embrace diversity and inclusion at Pearson.
The predicted salary is between 36000 - 60000 £ per year.
JOB TITLE: Senior Data Analyst
JOB TYPE: Full time
DIVISON: Assessment & Qualifications Delivery
LOCATION: Rotherham, Manchester, or London
About Pearson: At Pearson we ‘add life to a lifetime of learning’ so everyone can realise the life they imagine. We do this by creating vibrant and enriching learning experiences designed for real-life impact. Our Purpose | Add Life to a Lifetime of Learning. Pearson was founded in 1844 and has been built on our ability to grow with and adapt to a constantly evolving market. Our 20,000+ employees are dedicated to creating the high-quality, digital-first, accessible and sustainable resources for lifelong learning.
About Pearson Assessment Services: The Pearson Assessment Services (PAS) team provides assessment services to the UK and international assessment markets, supporting government education departments with project management, operational delivery and technical solutions. We are part of Pearson School Qualifications which supports the curriculum, qualifications and assessments for students in the UK and globally, delivering exams to over million students in over 80 countries annually and operating as a centre of excellence in qualifications and assessment.
About the Job
The position is for a Data Management & Analytics Analyst, who has experience working with large data focused projects, and whose responsibility is around the integrity and assurance of data through multiple pipelines, along with working towards better methods of exploiting this data in terms of analytics and reporting. As such there will be work involving data pipelines, transformation strategies, and helping to establish a more advanced data reporting platform.
Currently we are initiating a large new programme which will hold large amounts of data hosted in platforms such as MySQL that will have multiple inputs from external and internal sources.
This role involves working with business SME’s, product owners, architects, and developers, hence excellent communication and analysis skills are required.
There will also be attendance to various senior stakeholder meetings to explain project progress, design ideas and decisions etc, so good communication & planning skills are essential, with the ability to put things into non-technical terms for the wider audience.
About You
This would suit someone with a background in complex data projects, cloud preferably, and who is looking to work on fast moving critical projects and contribute to design decisions. A proven track record in delivering projects and advanced data validation experience is an advantage.
Key Skills & Experience
AWS Aurora, DMS, Glue, Lambda, Quicksight, S3
AWS SNS\\SQS pub/sub/queue concepts
Jenkins\\Terraform – Infrastructure as code
JIRA – Kanban Boards, agile methodology
MS SQL Server – Technical knowledge
MySQL – Technical knowledge
Oracle APEX – Technical knowledge
PostgreSQL – Technical knowledge
Python – Script writing
Other Skills
Automated testing design and setup
Business Intelligence – Design and best practice
Change Data Capture understanding
Data Warehousing concepts, design and loading strategies
Excellent Communication & Planning
CI/CD – Pipeline setup and repository (Bitbucket) knowledge Event driven architecture knowledge
SQL – Script design and writing to interrogate data
Teams and other Microsoft office apps
Experience with large-scale data environments
Experience with Integration / Ingestions of data
Excellent organisational skills, proactive, self-starter with a curious approach to data and its value
Presenting to stakeholders both internal and external
Working with product management, product owners, data architects, business stakeholders
Desirable Skills & Experience
JIRA & Confluence
Teams and other Microsoft office apps
Trello
Your benefits and rewards:
25 Days annual leave (increasing by 1 day with every year of continuous service up to 30 days)
Private Pension plan scheme where we pay in double what you contribute, up to 16% depending on your age
Life, private medical and dental care insurance options, plus free eye tests
Stock/share purchase options
Maternity, paternity, and family care leave as well as flexible working policies
An employee wellbeing assistance programme
Cycle to work program, volunteering days, gym membership concessions in selected office locations, along with retail and leisure discounts
Location: The role is aligned to our Manchester, Rotherham, or London offices. Our Rotherham office is located at Junction 1 of the M18. All our roles are hybrid working; our current policy requires our team to visit their base office no more than once a week, and with the possibility of occasional business travel to other Pearson sites. Candidates must be a suitable commute from their base office as our office presence policy may change to require more frequent presence in 2024.
Diversity: At Pearson we value the power of an inclusive culture and a strong sense of belonging. We promote a culture wheredifferences are embraced as strengths and opportunities are equal and accessible.
How to apply: Thank you for your interest in applying for a role at Pearson. Please submit an updated CV and cover letter (optional) in English. If you have any additional questions or require further information, please do not hesitate to reach out to us.
We look forward to receiving your application – Talent Acquisition Team
What to expect from Pearson
Did you know Pearson is one of the 10 most innovative education companies of 2022?
At Pearson, we add life to a lifetime of learning so everyone can realize the life they imagine. We do this by creating vibrant and enriching learning experiences designed for real-life impact. We are on a journey to be 100 percent digital to meet the changing needs of the global population by developing a new strategy with ambitious targets. To deliver on our strategic vision, we have five business divisions that are the foundation for the long-term growth of the company: Assessment & Qualifications, Virtual Learning, English Language Learning, Workforce Skills and Higher Education. Alongside these, we have our corporate divisions: Digital & Technology, Finance, Global Corporate Marketing & Communications, Human Resources, Legal, Strategy and Direct to Consumer. Learn more at
We value the power of an inclusive culture and also a strong sense of belonging. We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm and all individuals are supported in reaching their full potential. Through our talent, we believe that diversity, equity and inclusion make us a more innovative and vibrant place to work. People are at the center, and we are committed to building a workplace where talent can learn, grow and thrive.
Senior Data Analyst employer: Pearson
Contact Detail:
Pearson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as MySQL, Python, and Jenkins. Having hands-on experience or projects that showcase your skills with these tools can set you apart during interviews.
✨Tip Number 2
Prepare to discuss your previous experiences with large data projects. Be ready to explain how you ensured data integrity and what strategies you employed for data transformation and reporting. Real-life examples will demonstrate your capability effectively.
✨Tip Number 3
Since communication is key for this role, practice explaining complex data concepts in simple terms. You might want to prepare a few scenarios where you successfully communicated technical information to non-technical stakeholders.
✨Tip Number 4
Research Pearson's values and recent initiatives, especially around digital transformation and inclusivity. Being able to align your personal values with theirs during discussions can show your genuine interest in the company and its mission.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management and analytics. Focus on your work with large data projects, data pipelines, and any specific tools mentioned in the job description, such as MySQL, Python, or Jenkins.
Craft a Compelling Cover Letter: Although optional, a cover letter can set you apart. Use it to explain why you're passionate about the role at Pearson and how your skills align with their mission of enhancing learning experiences. Mention your experience with stakeholder communication and project management.
Highlight Key Skills: In your application, emphasise your technical skills like SQL script writing, data warehousing concepts, and CI/CD pipeline setup. Make sure to include examples of how you've applied these skills in previous roles.
Showcase Communication Skills: Since the role requires excellent communication skills, provide examples in your CV or cover letter of how you've effectively communicated complex data concepts to non-technical stakeholders. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
How to prepare for a job interview at Pearson
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Senior Data Analyst at Pearson. Familiarise yourself with data management, analytics, and the specific tools mentioned in the job description, such as MySQL, Python, and Jenkins.
✨Showcase Your Communication Skills
Since the role involves explaining complex data concepts to non-technical stakeholders, practice articulating your past experiences in a clear and concise manner. Prepare examples that demonstrate your ability to communicate effectively with various audiences.
✨Prepare for Technical Questions
Expect technical questions related to data pipelines, SQL scripting, and data validation. Brush up on your knowledge of the relevant technologies and be ready to discuss how you've applied them in previous projects.
✨Demonstrate Your Problem-Solving Skills
Be prepared to discuss how you've tackled challenges in past data projects. Think of specific examples where you identified issues, proposed solutions, and successfully implemented changes that improved data integrity or reporting processes.
