
Senior Data Analyst, Global Operations
RELX
full-time
Posted on:
Location Type: Remote
Location: South Africa
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Job Level
About the role
- Collaborate with stakeholders to understand business goals and identify meaningful analyses, metrics, and success measures
- Help define measurable outcomes aligned with organizational objectives
- Prepare, transform, and validate data, including work with large or complex datasets
- Apply statistical methods and analytical modeling to assess trends, drivers, and potential outcomes
- Develop clear visualizations and data stories tailored to diverse audiences
- Lead analytics projects end-to-end, including scoping, planning, and managing timelines
- Serve as a subject matter expert in assigned areas and provide mentorship to junior analysts
- Build understanding of related disciplines to improve analysis and interpretation
- Use approved AI tools to streamline work—such as drafting analyses, summarizing findings, generating code, or documenting workflows—while ensuring accuracy and quality
- Create reusable data products that support users at varying levels of data literacy (e.g., metric bots, guided dashboards)
Requirements
- Bachelor’s or master’s degree in data Analytics, Data Science, Mathematics
- 3–5 years of experience in analytics, reporting, or data-focused roles
- Strong ability to understand complex data structures and apply advanced data preparation and quality techniques
- Experience using intermediate statistical methods for business analysis
- Proficiency with SQL and Python for querying, transformation, and analysis
- Experience with data visualization tools (e.g., Tableau, Power BI) and designing dashboards for business users
- Familiarity with modern analytics platforms (e.g., Databricks or similar)
- Strong project execution skills, including the ability to organize work, manage multiple priorities, communicate progress, and address obstacles
- Ability to craft effective prompts for AI tools and refine outputs using domain knowledge
- Clear communication skills, with the ability to explain technical concepts to non-technical audiences.
Benefits
- Medical Aid
- Retirement Plan inclusive of Risk Benefits (Disability, Critical Illness, Life Cover & Funeral Cover)
- Modern family benefits, including adoption and surrogacy
- Study Leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analyticsdata sciencemathematicsstatistical methodsdata preparationdata quality techniquesSQLPythondata visualizationdashboard design
Soft Skills
collaborationproject executionorganizational skillscommunication skillsmentorshipproblem-solvingadaptabilityattention to detailtime managementstakeholder engagement