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- Tasks: Lead high-impact analytics projects and uncover actionable insights from complex data.
- Company: Join a global leader in information and analytics, making a real-world impact.
- Benefits: Enjoy flexible working hours, generous vacation, and a profit share bonus.
- Why this job: Shape the future of technology infrastructure with your analytical skills.
- Qualifications: Experience in data analytics, dashboard development, and strong communication skills.
- Other info: Collaborative culture with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Are you enthusiastic about leading high-impact analytics initiatives in technology infrastructure? Do you enjoy uncovering actionable insights from complex data?
About the Team
The Analytics and Insights team in the Technology Infrastructure and Operations function develops high-quality management reporting about Elsevier’s technology infrastructure and operational performance. The team works with operations and infrastructure colleagues, senior management and teams across Technology and the wider business to deliver robust insights about Elsevier’s technology estate. The team also leads data governance initiatives across TIO to build robust data management practices across the breadth of our infrastructure and operational data.
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
About the Business
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
Please note: this description does not include every duty and responsibility that may be required for this role. We are an equal opportunity employer and we are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation, please contact our recruitment team.
Senior Data Analyst in Oxford employer: Elsevier
Contact Detail:
Elsevier Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in Oxford
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. 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 diving deep into the company’s analytics projects. Familiarise yourself with their tech stack, especially AWS and Tableau, so you can speak confidently about how your skills align with their needs.
✨Tip Number 3
Showcase your problem-solving skills during interviews. Bring examples of how you've tackled complex data challenges in the past, especially those that led to actionable insights for stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our team.
We think you need these skills to ace Senior Data Analyst in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly 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 align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data analytics and how you can contribute to our team. Be sure to mention specific projects or experiences that showcase your expertise.
Showcase Your Projects: If you’ve worked on any impressive data projects, don’t hold back! Include links to dashboards or reports you’ve created. This gives us a taste of your skills and creativity in action, which is super important for this role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it’s the best way to show your interest in joining our awesome team!
How to prepare for a job interview at Elsevier
✨Know Your Data Inside Out
As a Senior Data Analyst, you’ll be expected to dive deep into complex datasets. Make sure you brush up on your SQL and data modelling skills. Be prepared to discuss specific examples of how you've used data to drive insights in previous roles.
✨Showcase Your Dashboard Skills
Since you'll be creating Tableau dashboards, bring along examples of your work. Talk about the design choices you made and how they helped stakeholders understand the data better. This will demonstrate your ability to communicate insights effectively.
✨Engage with Stakeholders
The role involves collaborating with various teams, so practice articulating how you gather requirements from stakeholders. Think of scenarios where you successfully translated their needs into actionable analytics solutions, and be ready to share those stories.
✨Demonstrate Problem-Solving Skills
Prepare to discuss your analytical approach to problem-solving. Think of a challenging data issue you faced and how you resolved it. Highlight your curiosity and structured thinking, as these traits are crucial for success in this role.