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- Tasks: Analyse and manage large data projects, ensuring data integrity and advanced reporting.
- Company: Join Pearson, a leading education company dedicated to enriching learning experiences.
- Benefits: Enjoy 25 days annual leave, private pension, health insurance, and flexible working options.
- Why this job: Make a real impact in education by transforming data into actionable insights.
- Qualifications: Experience in complex data projects and strong communication skills are essential.
- Other info: Hybrid working model with opportunities for career growth in a diverse environment.
The predicted salary is between 36000 - 60000 £ per year.
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 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 a 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 where differences 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.
Senior Data Analyst in Manchester employer: Pearson
Contact Detail:
Pearson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Analyst role.
✨Tip Number 2
Prepare for those interviews by practising common data-related questions. We suggest doing mock interviews with friends or using online platforms. The more comfortable you are, the better you’ll perform when it counts!
✨Tip Number 3
Showcase your skills through a portfolio! If you’ve worked on any data projects, compile them into a neat presentation. We love seeing real examples of your work, and it can really set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals who want to make a difference in education.
We think you need these skills to ace Senior Data Analyst in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with data management, analytics, and any relevant tools like AWS or SQL. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: While a cover letter is optional, it’s a great chance to showcase your personality and passion for the role. Share why you’re excited about working with us at Pearson and how you can contribute to our mission of adding life to a lifetime of learning.
Showcase Your Communication Skills: Since this role involves working with various stakeholders, make sure to demonstrate your communication skills in your application. Use clear and concise language to explain your experience and how you can translate complex data into understandable insights.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Pearson
✨Know Your Data Tools
Familiarise yourself with the specific tools mentioned in the job description, like AWS services and SQL databases. Be ready to discuss your experience with these technologies and how you've used them in past projects.
✨Communicate Clearly
Since this role involves explaining complex data concepts to non-technical stakeholders, practice simplifying your explanations. Use examples from your previous work to illustrate how you can make data understandable for everyone.
✨Showcase Your Project Experience
Prepare to discuss your previous data projects in detail. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your problem-solving skills and ability to deliver results.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team, current projects, or the company’s future direction. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
