Senior Data Analyst

Are you enthusiastic about working as a Senior Data Analyst?
Do you enjoy uncovering insights from data?

The Optimisation team at Elsevier Technology has a clear mission: to improve the overall effectiveness of our organisation. We are lucky to have thousands of amazing technologists working across disciplines to deliver technology-enabled growth at Elsevier; how can we get better at what we do every day?

We operate in a highly collaborative, globally distributed model, valuing clarity, consistency, and shared ways of working. Rather than optimising local solutions, we focus on building analytics, metrics, and insights that scale, reduce friction, and support informed trade-offs across the organisation.

- Ownership over outcomes, not just outputs

- Analytical rigor and transparency, enabling trust in data

- Pragmatic improvement, balancing speed, risk, and long-term effectiveness

- Strong partnership with stakeholders, from senior leadership to delivery teams and our colleagues in Product and UX

This role contributes directly to the ongoing evolution of how Elsevier Technology uses data to guide investment, improve delivery, and increase overall organizational effectiveness.

As a Senior Data Analyst II, you will act as an independent analytical contributor and subject matter expert for Tech Optimization insights. You will partner with senior Technology stakeholders (Directors and senior leaders) and Tech Optimization stream owners to move beyond reporting and deliver advanced-level insights and recommendations that support prioritization, investment choices, adoption/engagement, and operational health.

You will lead analytics efforts fully independently, blending data from multiple sources (e.g., vendor telemetry via APIs and controlled extracts where direct access is constrained) and translating it into actionable insight narratives—trends, heat maps, outliers, drivers, and areas of concern—presented through clear, high-impact dashboards and self-serve views. You will also coach and support colleagues, raising overall capability in data preparation, modelling, and visual communication.

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• Execute analytics initiatives fully independently, owning end-to-end delivery from problem framing through to insight, dashboard build, and stakeholder rollout.

  
  

• Act as a subject matter expert for Tech Optimisation insights, partnering with Directors and senior leaders to guide hypothesis thinking and translate ambiguous questions into clear analyses and recommendations.

  
  

• Move beyond reporting by producing actionable insights (trends, hotspots, heat maps, exceptions, drivers) that support prioritisation, investment choices, adoption/engagement, and operational health.

  
  

• Blend and prepare data expertly from multiple sources using the most appropriate methods (e.g., vendor telemetry via APIs, secure extracts, controlled spreadsheets), ensuring outputs are trusted and decision-ready.

  
  

• Apply Elsevier reporting taxonomy (business line/vertical/group segmentation) to standardise outputs where upstream sources report differently and clearly document assumptions and caveats.

  
  

• Apply advanced analytical approaches and modelling techniques where appropriate (segmentation, funnel/cohort analysis, comparative analysis, statistical interpretation) to generate insight and recommendations across the domain and adjacent areas.

  
  

• Design and maintain high-impact, user-centric dashboards and self-serve views (Tableau-first; Power BI/EazyBI where appropriate), optimised for clarity, usability, and performance.

  
  

• Establish repeatable refresh and quality practices (validation checks, issue monitoring, change tracking) to maintain high standards for analytical accuracy, consistency, and reliability.

  
  

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• Strategic analytics delivery: Proven experience delivering high-impact insights and recommendations for senior stakeholders — moving beyond dashboards to identify drivers, risks, and opportunities that influence decision‑making.

  
  

• Structured problem solving and thought partnership: Strong ability to frame ambiguous problems, develop hypotheses, identify the right metrics and analytical approaches, and guide stakeholders toward actionable outcomes.

  
  

• Advanced data preparation and integration: Expert in working across heterogeneous data sources (APIs, spreadsheets, vendor telemetry, structured and semi‑structured data), including comfort handling JSON and blending disparate datasets into usable analytical models.

  
  

• Analytical depth and modelling capability: Skilled at applying appropriate analytical methods to surface trends, anomalies, and causal drivers, and translating analysis into clear narratives that inform product, operational, or strategic decisions.

  
  

• Data visualisation for decision‑making: Advanced capability designing intuitive, decision‑focused dashboards that enable self‑serve insights and influence stakeholder behaviour. Strong proficiency in Tableau required; Power BI experience beneficial.

  
  

• Communication and stakeholder influence: Able to clearly communicate complex analysis to both technical and non‑technical audiences, document assumptions, and build trust in analytical outputs.

  
  

• Ownership and project leadership: Demonstrated ability to lead analytics initiatives end‑to‑end — scoping work, managing timelines, navigating ambiguity, and independently resolving blockers.

  
  

• Curiosity and intellectual rigor: Strong analytical mindset with a focus on quality of thinking. Naturally curious, comfortable challenging assumptions, exploring new questions in the data, and experimenting with analytical approaches to uncover deeper insight.

  
  

• Continuous learning and experimentation: Open to new tools, methods, and analytical techniques; motivated to improve analytical impact through iteration, experimentation, and ongoing learning.

  
  

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.

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.

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• 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.

  
  

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:

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• 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)

  
  

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 here to access benefits specific to your location.

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