Senior Data Analyst

Role Overview

• 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.

Requirements

• 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.

Tech Stack

• Tableau

Benefits

• 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)