Global Operations Data Analyst III

LexisNexis; Cape Town; On-site; ZAR 200 000 - 300 000; Full time

Job summary

A global information analytics company is looking for a Data Analyst III in Cape Town. This role requires expertise in SQL and Python, and the ability to manage complex datasets and deliver actionable insights through visualization tools like Tableau and Power BI. The ideal candidate will also have strong communication skills, a collaborative mindset, and the ability to organize and manage analytics projects effectively. Benefits include a medical aid, retirement plan, and flexible working hours.

Benefits

Medical Aid

Retirement Plan inclusive of Risk Benefits

Flexible working hours

Study Leave and sabbaticals

Modern family benefits, including adoption and surrogacy

Qualifications

• Strong experience with SQL and Python for querying, transformation, and analysis.
• Ability to work with complex data structures and apply effective data preparation and quality techniques.
• Strong communication skills to translate complex topics into clear insights.

Responsibilities

• 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.
• Prepare, clean, and transform datasets using effective techniques.

Skills

SQL

Python

Data preparation techniques

Statistical methods

Communication skills

Collaboration

Education

Bachelor's or Master's degree in Data Analytics, Data Science, Mathematics, or related field

Tools

Tableau

Power BI

Databricks

Job description

About the Role

About our TeamLexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.

The Data Analyst III partners with internal teams to understand business needs, analyze data, and support informed decision‑making. This role prepares and analyzes datasets, develops clear visualizations, and communicates insights in ways that support strategic and operational outcomes. The position works independently on complex analytics tasks and may lead smaller projects with guidance when needed.

Responsibilities

• 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, or 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 or Power BI to communicate insights.
• Experience applying intermediate statistical methods to business challenges.
• Familiarity with modern data platforms such as 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 and sabbaticals
• Working flexible hours – flex the times when you work in the day to fit everything in and work when you are most productive.

Equal Opportunity Employer

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.