Global Operations Data Analyst III
Location
South Africa
Posted
129 days ago
Salary
0
Seniority
Senior
Job Description
Global Operations Data Analyst III
RELX
• 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.
Job 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
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
• Design and deliver dashboards with BI tools that bring clarity and vision to stakeholders • Use SQL and Excel to explore data, reveal trends, and extract actionable findings • Partner with cross-functional teams to deliver data-driven solutions to real business challenges • Ensure data accuracy, consistency, and structure across all databases • Troubleshoot data issues with agility and deliver timely resolutions • Validate, clean, and interpret datasets from multiple sources to tell a reliable story
• Support product discovery with exploratory analyses and actionable hypotheses. • Define and track key product metrics (adoption, conversion, drop-off, engagement, etc.). • Design, analyze, and interpret product experiments (A/B tests) to validate business hypotheses. • Identify behavioral patterns that help the team iterate or pivot quickly. • Build dashboards and interactive reports to enable self-service access to insights within the squad. • Collaborate with the Head of Product, PMs, POs, UX Designers, and Engineering Managers to prioritize initiatives based on data opportunities. • Contribute to data-driven solutions for onboarding, segmentation, matching, pricing, and more.
• Development, maintenance, and governance of Workday reporting solutions and related data assets • Ensuring reports are accurate, secure, and compliant with organizational standards • Partnering with stakeholders to gather reporting requirements for Workday reporting solutions • Conducting regular audits for report accuracy and efficiency • Supporting data governance initiatives across HR and business functions
Data Analyst – Epidemiologist II
CDC FoundationCDC Foundation is a nonprofit organization that helps the Centers for Disease Control (CDC) build partnerships with philanthropies, corporate entities, outside groups, and individu
• Conduct routine and emergency-response epidemiologic analyses to support measles surveillance, case investigation, and contact tracing activities. • Perform data cleaning, reconciliation, and linkage across multiple data sources (e.g., surveillance systems, laboratory data, immunization records). • Develop and maintain analytic datasets to monitor outbreak trends, transmission patterns, and response performance indicators. • Conduct special epidemiologic analyses during outbreaks, including assessment of exposure settings, secondary attack rates, vaccination status, and geographic clustering. • Evaluate and improve the completeness, accuracy, and timeliness of case investigation and contact tracing data; provide feedback to data collectors and program staff. • Collaborate with epidemiologists, informatics staff, and response leadership to identify data gaps and analytic needs during a measles outbreak. • Prepare clear written summaries, data tables, figures, and dashboards to support situational awareness and leadership briefings. • Provide technical assistance and guidance on data and analytic best practices to response leadership during emergency responses.




