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Senior Data AnalystElsevier β€’ London, England, United Kingdom

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Senior Data Analyst

Elsevier
  • GB
    London, England, United Kingdom
  • GB
    London, England, United Kingdom

About

This job is with Elsevier, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
Senior Data Analyst 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. Key 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.
Develop and maintain data models using dbt to provide transparency and clarity into business metrics.
Act as a Tableau and data visualisation specialist, coaching and advising other analysts on best practice.
Requirements: 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.
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 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.
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: 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)
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.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click
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. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. ]]>
  • London, England, United Kingdom

Languages

  • English
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