Senior Data Analyst

🔥 3 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

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RELX

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

RELX is a global provider of information-based analytics and decision tools for professional and business customers. The company focuses on enabling its clients to make better decisions, improve results, and enhance productivity by leveraging advanced technology and data. RELX serves various sectors, including Risk, Scientific, Technical & Medical, Legal, and Exhibitions, by offering specialized information and analytical tools that facilitate critical decision-making. The company is committed to corporate responsibility and delivering societal benefit through its products by contributing to scientific advancement, legal justice, and effective market transactions.

📋 Description

• Partner with stakeholders to understand business needs and identify the most relevant analyses, KPIs, and success measures • Support stakeholders in setting appropriate goals and defining measurable outcomes aligned to business objectives • Prepare and transform data using advanced blending, refinement, and quality techniques (including large/complex datasets) • Apply statistical methods and intermediate data models/scenarios to evaluate trends, drivers, and potential outcomes • Create clear, compelling data visualizations and narratives tailored to the target audience • Lead and execute analytics projects independently, including scoping, planning, and managing deliverables to deadlines • Serve as a subject matter expert within an assigned domain and coach/mentor junior team members • Develop working knowledge of adjacent disciplines and how they influence analytics needs and interpretation • Leverage approved AI tools to accelerate analysis and deliverables while maintaining accountability for accuracy and quality • Develop data products that meet data consumers where they are in their data literacy journey

🎯 Requirements

• Ability to understand complex data structures and apply advanced data preparation, blending, refinement, and quality techniques (including big data) • Experience applying intermediate statistics to business problems • Significant experience leveraging SQL and Python for data querying, collection, transformation, and analysis • Experience with data visualization tools such as Tableau and/or Power BI; ability to design dashboards and narratives for business audiences • Familiarity with advanced analytics/data platforms (e.g., Databricks or equivalent) • Strong project execution skills: able to structure work into modular tasks, manage multiple projects in parallel, communicate progress, and resolve blockers • Ability to craft effective prompts, iterate toward higher-quality outputs, and incorporate domain context and constraints • Experience in analytics, reporting, or data science-adjacent roles

🏖️ Benefits

• With numerous wellbeing initiatives • Shared parental leave • Study assistance and sabbaticals