Content Data Analyst

LexisNexis

Legal Content Data Analyst in Global Product Analytics team at LexisNexis. Focused on transforming complex data into actionable insights for strategic decision-making.

Posted 7/21/2026full-timeCape Town • 🇿🇦 South AfricaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong analytical capabilities and attention to detail in data analysis, utilizing SQL or Python for insights. Proficient in building dashboards and automating reports to enhance data governance and business intelligence.

Highest-signal resume keywords

SQL Data AnalysisPython ScriptingBusiness Intelligence ReportingAWS Big Data ArchitectureWeb Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatisticsData AutomationData GovernanceETL ProcessesDashboard DevelopmentData Warehouse MethodologiesVersion ControlData VisualizationMetrics Monitoring

Soft Skills

Communication SkillsProblem-SolvingTeam CollaborationCuriosityBusiness Judgment

Tools & Technologies

TableauPowerBIAWS RedshiftSagemakerClaudeOpenAIDatabricks Genie AI

Industry Keywords

Legal ContentData FeedsData InsightsData AnalysisBusiness Metrics

Tech Stack

Tools & technologies

Amazon RedshiftAWSETLPythonSQLTableau

About the role

Key responsibilities & impact

Structure business problems into distinct data analyses (i.e., a set of hypotheses that can be tested)
Ensure accurate and timely delivery of insights from data analyses to the Legal Content directors
Communicate findings and recommendations in a compelling manner (e.g., charts, presentations) and influence decisions through data-driven insights
Enable Legal Content directors to self-serve answers quickly and accurately by building and iteratively improving dashboards
Develop and automate reports to ensure key metrics are monitored effectively and variances are understood
Use strong analytical capabilities and attention to detail to continually improve the quality of data feeds
Build robust, repeatable and scalable analyses that are version-controlled, well documented and reliable

Requirements

What you’ll need

At least 2 years of related experience pulling data from a variety of large datasets and using statistics to arrive at an insight
Strong applied knowledge of either SQL or Python for data analysis and scripting
Strong business judgment and a deep interest in data, metrics and analysis
Curious and structured problem-solver who is keen to challenge the status quo
Great team player with excellent communication skills
Understanding of web analytics (DOM, CSS, HTML)
Experience with AWS big data architecture (e.g. ETL, AWS Redshift, Sagemaker)
Experience with business intelligence reporting tools (e.g. Tableau, PowerBI)
Experience with AI tools (e.g. Claude, OpenAI, Databricks Genie AI)
Knowledge of good data governance and various data warehouse methodologies

Benefits

Comp & perks

healthy work/life balance
wellbeing initiatives
shared parental leave
study assistance
sabbaticals