At a Glance
- Tasks: Uncover insights from data and create user-friendly Tableau dashboards.
- Company: Join Elsevier's innovative Analytics and Insights team.
- Benefits: Flexible hours, generous vacation, and comprehensive wellbeing initiatives.
- Other info: Opportunity for career growth and to experiment with GenAI tools.
- Why this job: Make a real impact by shaping technology infrastructure with data-driven insights.
- Qualifications: Strong Tableau skills and experience with large datasets required.
The predicted salary is between 50000 - 65000 € per year.
Are you enthusiastic about working as a Senior Data Analyst? Do you enjoy uncovering insights from data?
About the team: Help shape the future of Elsevier's technology infrastructure by bringing our operational data to life. The Analytics and Insights team within Technology Infrastructure and Operations (TIO) delivers actionable reporting and insights on Elsevier's technology infrastructure and operational performance. We support technology operations and infrastructure teams, Technology leadership, and wider business stakeholders with analytics on Elsevier's technology estate, including our multi-cloud environment.
About the role: As a Senior Data Analyst, you will design, build, and maintain Tableau dashboards that provide insight into Elsevier's IT and multi-cloud infrastructure estate and operational performance. You will partner with stakeholders across Technology, from operational teams to senior leadership, to translate reporting needs into effective, user-centric dashboards. Reporting areas include cloud efficiency (for example, AWS resource usage and optimization), software asset insights, and other operational performance metrics. You will develop and maintain data models using dbt to provide transparency and clarity into business metrics. You will also explore how GenAI-enabled approaches can enhance insight generation and improve how insights are delivered to stakeholders.
Responsibilities
- Lead data visualisation and storytelling practices within the Analytics team.
- Design and deliver intuitive Tableau dashboards with a strong focus on user experience, accessibility, and visual clarity.
- Translate complex datasets into clear narratives and actionable insights for operational teams and senior stakeholders.
- Lead analytics initiatives end-to-end: discovery, requirements, iterative development, validation, release, maintenance, and user support.
- Manage senior stakeholder relationships, communicating insights, recommendations, and technical issues clearly and effectively.
- Facilitate requirements workshops and translate needs into well-defined user stories.
- Continuously improve dashboards based on user feedback, usage insights, and performance optimisation.
- Experiment with GenAI tools and novel approaches to insight generation and delivery.
- Perform data profiling, cleansing, preparation and modelling to produce analysis-ready datasets.
- Act as a Tableau and data visualisation specialist, coaching and advising other analysts on best practice.
Qualifications
- Strong Tableau expertise, with a portfolio demonstrating high-quality dashboard design and user-centric thinking.
- Experience in a data analytics, BI, or reporting role delivering insights into operational or business performance.
- Proven experience working with large, complex datasets, including data profiling and cleansing.
- Advanced SQL skills for querying large datasets and developing complex reports.
- Experience with relational databases (preferably Snowflake).
- Experience with DBT.
- Familiarity with AWS or equivalent cloud technologies.
- Experience using GenAI tools and applying them to analytics workflows (for example, insight generation, narrative drafting, dashboard support, or productivity acceleration).
- Curiosity and a strong drive to innovate, including experimenting with new techniques and approaches to improve insight quality and delivery.
- Excellent stakeholder management and communication skills, with the ability to engage technical and non-technical audiences at all levels.
- Strong written communication skills, including clear documentation of definitions, logic, and dashboard guidance.
- Knowledge of Python is a plus.
Benefits
- We promote a healthy work/life balance across the organization.
- 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.
- Comprehensive Pension Plan.
- Home, office, or commuting allowance.
- Generous vacation entitlement and option for sabbatical leave.
- Maternity, Paternity, Adoption, and Family Care leave.
- Flexible working hours.
- Personal Choice budget.
- Internal communities and networks.
- Various employee discounts.
- Recruitment introduction reward.
- Employee Assistance Program (global).
If you are ready to advance your career and make a significant impact, we encourage you to apply.
Senior Data Analyst in City of Westminster employer: RELX Group
Elsevier is an exceptional employer that prioritises employee well-being and professional growth, offering a dynamic work environment for Senior Data Analysts. With a strong focus on innovation, flexible working hours, and comprehensive benefits including generous vacation entitlement and study assistance, we empower our team to thrive both personally and professionally. Join us in shaping the future of technology infrastructure while enjoying a supportive culture that values your contributions and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. Ask them about their experiences and insights into the company culture. This can give you a leg up when it comes to understanding what they value in candidates.
✨Tip Number 2
Prepare for the interview by practising your storytelling skills. Think of examples from your past work that showcase your Tableau expertise and how you've turned complex data into actionable insights. We want to see how you can communicate effectively with both technical and non-technical audiences.
✨Tip Number 3
Show off your curiosity! Be ready to discuss how you've experimented with new tools or techniques, especially around GenAI. Companies love candidates who are eager to innovate and improve processes, so share your ideas on how you could enhance insight generation.
✨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, it shows you’re genuinely interested in joining our team and making an impact.
We think you need these skills to ace Senior Data Analyst in City of Westminster
Some tips for your application 🫡
Show Off Your Tableau Skills:Make sure to highlight your Tableau expertise in your application. Share examples of dashboards you've designed that demonstrate user-centric thinking and visual clarity. We want to see how you can bring data to life!
Tell a Story with Data:When writing your application, think about how you can translate complex datasets into clear narratives. We love candidates who can communicate insights effectively, so don’t shy away from showcasing your storytelling skills.
Be Clear and Concise:Your written application should be easy to read and understand. Use clear language and structure your thoughts logically. Remember, we’re looking for strong written communication skills, so make every word count!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at RELX Group
✨Know Your Tools Inside Out
Make sure you’re well-versed in Tableau and dbt. Bring examples of your previous dashboard designs and be ready to discuss how you approached user-centric thinking. This will show that you not only know the tools but also understand their impact on stakeholders.
✨Prepare for Stakeholder Scenarios
Think about how you would handle different stakeholder requests. Be ready to share examples of how you've translated complex data into actionable insights in the past. This will demonstrate your ability to communicate effectively with both technical and non-technical audiences.
✨Showcase Your Curiosity
Discuss any innovative techniques or GenAI tools you've experimented with in your analytics work. Highlight how these have improved your insight generation or dashboard delivery. This will reflect your drive to innovate and adapt in a fast-paced environment.
✨Practice Data Storytelling
Prepare to explain how you turn data into narratives. Use a specific example where you led an analytics initiative from start to finish, focusing on how you engaged users and incorporated feedback. This will illustrate your storytelling skills and your commitment to continuous improvement.
