Global Operations Data Analyst III
RELX
full-time
Posted on:
Location Type: Remote
Location: South Africa
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About the role
- Apply analytics best practices, including data quality, documentation, reproducibility, and appropriate metric use.
- Manage and deliver analytics projects, ensuring clear timelines, communication, and stakeholder alignment.
- Collaborate with stakeholders to clarify business questions and recommend relevant analyses, metrics, or KPIs.
- Prepare, clean, and transform datasets—including large or complex data—using effective blending, validation, and refinement techniques.
- Conduct intermediate statistical analyses to identify trends, patterns, and drivers.
- Create accessible and meaningful visualizations using tools such as Tableau or Power BI, tailoring outputs to audience needs.
- Integrate data and visuals from multiple sources to communicate clear, actionable insights.
- Lead small or operational analytics efforts, including scoping, task planning, progress tracking, and risk escalation.
- Support team members through peer reviews, shared resources, and collaborative problem‑solving.
- Maintain awareness of customer needs, market context, and how business changes affect data interpretation.
- Use approved AI tools to streamline routine analytics tasks while ensuring accuracy and completeness.
Requirements
- Bachelor’s or master’s degree in data Analytics, Data Science, Mathematics, a related field.
- Ability to work with complex data structures and apply effective data preparation and quality techniques.
- Strong experience with SQL and Python for querying, transformation, and analysis.
- Experience using visualization tools Tableau, Power BI to communicate insights.
- Experience applying intermediate statistical methods to business challenges.
- Familiarity with modern data platforms Databricks or comparable environments
- Strong communication skills, with the ability to translate complex topics into clear insights for diverse audiences.
- Ability to organize work, manage dependencies, and contribute to structured project environments.
- Collaborative mindset with openness to learning and supporting team success.
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 qualitydata preparationSQLPythonintermediate statistical analysisdata transformationdata blendingdata validationdata refinementKPI
Soft Skills
communicationcollaborationproblem-solvingorganizational skillsstakeholder alignmentproject managementpeer reviewadaptabilitycustomer awarenesslearning mindset
Certifications
Bachelor’s degree in Data AnalyticsMaster’s degree in Data ScienceBachelor’s degree in Mathematics