RELX Deutschlandweit heute

Global Operations Data Analyst III

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About our Team

LexisNexis 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.

About the Role

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, 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.
  • Comfortable working an overlap with the US 11:00am–19:00pm, Monday to Friday SAST.

Benefits

Working flexible hours – flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

  • Medical Aid
  • Retirement Plan inclusive of Risk Benefits (Disability, Critical Illness, Life Cover & Funeral Cover)
  • Modern family benefits, including adoption and surrogacy
  • Study Leave

About the Business

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision‑making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

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.

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