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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 supportive culture with excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ 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 employer: RELX
Contact Detail:
RELX Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or through our website. Ask them about their experiences and any tips they might have for landing a role at Elsevier.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with SQL, Tableau, and AWS. We want to see how you can bring those skills to the table!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to share examples of how you've tackled complex data challenges in the past. We love candidates who can think critically and creatively!
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can go a long way in showing your enthusiasm for the role. Plus, it keeps you fresh in the interviewer's mind!
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data analytics, dashboard development, and AWS technologies. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills: When detailing your experience, be specific about the tools and technologies you've used, like Tableau, SQL, and Python. We love seeing concrete examples of how you've applied these skills in real-world scenarios, especially in leading analytics projects.
Engage with Our Values: In your application, reflect on our culture of innovation and collaboration. Share experiences where you’ve worked effectively with cross-functional teams or mentored others, as this aligns with what we value at StudySmarter.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
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 dimensional data models or created Tableau dashboards. This will show your expertise and help you connect your experience with the role's requirements.
✨Brush Up on Technical Skills
Make sure you're comfortable with SQL, Python, and any relevant AWS services like Lambda and S3. Practise coding challenges or work on sample ETL pipelines to demonstrate your technical prowess during the interview. Being hands-on will give you the confidence to tackle any technical questions thrown your way.
✨Engage with Stakeholders
Prepare to discuss how you've collaborated with both technical and non-technical stakeholders in the past. Think of examples where you gathered analytics requirements or presented insights. This will highlight your communication skills and ability to translate complex data into actionable insights.
✨Showcase Your Problem-Solving Skills
Be ready to share instances where you've tackled complex data issues or improved data quality. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This approach will help you clearly convey your analytical mindset and attention to detail, which are crucial for this role.
