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For Companies At a Glance
- Tasks: Develop and maintain reporting on multi-cloud infrastructure and operational performance.
- Company: Join a leading tech company focused on innovation and collaboration.
- Benefits: Enjoy flexible working hours, generous vacation, and a profit share bonus.
- Why this job: Make a significant impact while advancing your career in data analytics.
- Qualifications: Experience in data analytics, dashboard development, and cloud technologies required.
- Other info: Be part of a culture that values well-being and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
About the Role
You will develop and maintain reporting on Elsevier’s vast multi-cloud infrastructure estate and operational performance for senior stakeholders across the business. Engaging with stakeholders across Technology, you will gather analytics requirements and translate these into compelling dashboards and reports on how we best manage our AWS resources, software assets and other areas of operational performance and compliance. You will build advanced data models for reporting, support the development of data pipelines and streamline data integration for analytics and reporting. You will work alongside other data analysts, data engineers, data architects and infrastructure architects in building reporting pipelines and implementing data quality standards and processes.
Key Responsibilities:
- Designing and implementing dimensional data models for analytics and reporting
- Creating Tableau dashboards, reports and data visualisations which provide clear and actionable insights for operations teams and senior stakeholders
- Analysing large operational datasets with a focus on data integrity and accuracy
- Leading analytics projects independently, taking ownership of initiatives and delivering insights and analytical solutions supporting strategic data initiatives
- Collaborating with business stakeholders and cross-functional project teams to establish reporting requirements
- Managing analytics reports across the full analytics lifecycle, including discovery, iterative development, testing, deployment, maintenance and end user support
- Building and automating ETL pipelines using DBT and Python, and data integration leveraging AWS services such as Lambda, S3, and Athena.
- Mentoring and coaching other team members on visualisation skills, dashboard creation, ETL and data modelling.
Requirements:
- Significant experience in a lead role in data analytics, business intelligence or analytics engineering
- Significant experience in dashboard development and data visualisation experience using Tableau, presenting data insights clearly and persuasively
- Experience with SQL, Snowflake / other relational databases and dimensional data modelling
- Experience with DBT is desirable.
- Experience with Python for data analysis, ETL and automation.
- Experience working with large and complex data sets, data profiling and cleansing.
- Experience with AWS, in particular, Lambda, S3, Athena, or equivalent cloud technologies.
- Experience with Git.
- Strong written and verbal communication skills and experience engaging effectively with technical and non-technical stakeholders at all levels
- Demonstrate curiosity and a structured and analytical approach to problem-solving.
- Attention to detail with a keen eye for effective dashboard design, data quality and accuracy.
Why Join Us?
Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.
Work in a way that works for you
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Annual Profit Share Bonus
- Comprehensive Pension Plan
- Generous vacation entitlement and option for sabbatical leave
- Maternity, Paternity, Adoption and Family Care leave
- Flexible working hours
- Internal communities and networks
- Various employee discounts
- Recruitment introduction reward
- Employee Assistance Program (global)
- Annual Event
Senior Data Analyst in London employer: RELX
Contact Detail:
RELX Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or at industry events. 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 analytics questions. We recommend 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 with a portfolio! Create a few sample dashboards or reports that highlight your expertise in Tableau and data modelling. This will give potential employers a taste of what you can bring to the table.
✨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 love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Data Analyst in London
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 analytics, dashboard development, and any relevant tools like Tableau and Python. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Projects: If you've worked on any impressive data projects, don’t hesitate to showcase them! Whether it's a dashboard you built or a complex data model you designed, we love seeing real examples of your work that demonstrate your skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at RELX
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data analytics. Be ready to discuss specific examples of how you've designed and implemented data models, created dashboards in Tableau, or built ETL pipelines using Python. This will show your expertise and give you confidence during the conversation.
✨Showcase Your Communication Skills
Since you'll be engaging with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. Prepare to share how you've successfully communicated insights from your analyses in previous roles. This will demonstrate your ability to bridge the gap between data and decision-making.
✨Prepare for Technical Questions
Brush up on your SQL skills and be ready to tackle questions related to data integrity, profiling, and cleansing. You might also be asked about your experience with AWS services like Lambda, S3, and Athena, so have some examples ready that highlight your hands-on experience with these technologies.
✨Demonstrate Your Curiosity
During the interview, express your passion for data and problem-solving. Share instances where your curiosity led you to explore new data solutions or improve existing processes. This will resonate well with the company's culture of innovation and collaboration.
