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, wellness initiatives, and career development support.
- Other info: Dynamic work environment with opportunities for innovation and growth.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Strong Tableau skills, experience with large datasets, and excellent communication abilities.
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.
- 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.
- 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 employer: RELX Group
Elsevier is an exceptional employer that prioritises employee well-being and professional growth, offering a dynamic work culture where innovation thrives. As a Senior Data Analyst, you will benefit from flexible working hours, generous vacation entitlements, and a comprehensive pension plan, all while collaborating with a diverse team to shape the future of technology infrastructure. With numerous opportunities for personal development and a commitment to work-life balance, Elsevier stands out as a rewarding place to advance your career in data analytics.
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 at industry events. Ask them about their experiences and any tips they might have for landing a role at Elsevier. Personal connections can make all the difference!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Tableau dashboards and data visualisation projects. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research common questions for Senior Data Analysts and practice your responses. Be ready to discuss how you've tackled complex datasets and delivered actionable insights in past roles.
✨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 at Elsevier.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Showcase Your Tableau Skills:Make sure to highlight your Tableau expertise in your application. Include 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 Your Data Story:When writing your application, focus on how you've translated complex datasets into clear narratives. Share specific instances where your insights have driven operational improvements or influenced decision-making. We love a good data story!
Be Clear and Concise:Your written communication skills are key for this role. Keep your application clear and to the point, especially when documenting definitions and logic. Remember, we need to understand your thought process just as much as your technical skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen to join our team!
How to prepare for a job interview at RELX Group
✨Know Your Tools Inside Out
Make sure you're well-versed in Tableau and SQL, as these are crucial for the Senior Data Analyst role. Bring examples of your previous work, like dashboards you've designed or complex queries you've written, to showcase your expertise.
✨Understand the Business Context
Familiarise yourself with Elsevier's technology infrastructure and operational performance metrics. Be prepared to discuss how your insights can drive decisions and improve efficiency, especially in areas like cloud resource optimisation.
✨Prepare for Stakeholder Engagement
Think about how you would communicate complex data insights to both technical and non-technical audiences. Practice explaining your past projects in a way that highlights your ability to translate data into actionable narratives.
✨Show Your Curiosity and Innovation
Demonstrate your eagerness to experiment with new tools, like GenAI, and how they can enhance analytics workflows. Share any innovative approaches you've taken in past roles to improve insight generation or dashboard usability.
