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Business Consultant
RELXOperational Intelligence Analyst at LexisNexis transforming complex data into actionable insights. Responsible for early detection of anomalies and enhancing customer outcomes through AI-driven solutions.
Posted 5/24/2026full-timeAlpharetta • Florida • 🇺🇸 United StatesMid-LevelSenior💰 $86,600 - $144,400 per yearWebsite
Tech Stack
Tools & technologiesSparkSplunkSQL
About the role
Key responsibilities & impact- Analyze large-scale usage datasets using SQL and data science methodologies to identify trends, patterns, and anomalies in product platform activity.
- Design, develop, and deploy AI models that automatically dashboard active usage and flag abnormal patterns in real time.
- Build and maintain operational alerts, interactive dashboards, and visualization solutions using Databricks, Elastic AI, Kibana, PowerBI, and related tools.
- Create data profiles and leverage them to generate timely, actionable analytics that support rapid business decision-making and operational response.
- Partner closely with operations teams to establish and refine early-escalation workflows for customers experiencing issues with our product platforms.
- Continuously monitor platform health metrics, perform root-cause analysis on usage anomalies, and recommend data-driven improvements to alerting logic and dashboards.
- Collaborate with cross-functional stakeholders to translate business requirements into technical analytics solutions that deliver clear operational value.
- Document analytics processes, model logic, and dashboard architectures to ensure knowledge sharing and long-term maintainability of the Operational Intelligence platform.
- Stay current with emerging tools and best practices in data science, AI-driven monitoring, and business intelligence to drive continuous innovation within the team.
Requirements
What you’ll need- Advanced SQL (required) with hands-on experience querying large-scale, high-velocity datasets
- Experience working with distributed data platforms (e.g., Databricks, Spark, or similar)
- Experience building or tuning anomaly detection, forecasting, or pattern recognition models
- Ability to operationalize models into alerting or reporting systems (not just notebooks)
- Experience designing or supporting alerting frameworks tied to system or business thresholds
- Familiarity with tools like Elastic, Kibana, Splunk, or similar observability platforms
- Proven ability to build actionable dashboards (Power BI, Kibana, etc.)
- Demonstrated ability to investigate anomalies, trace issues across systems, and identify root causes
- Ability to work directly with operations, product, and engineering teams
- Experience improving alert logic, reducing false positives, and scaling analytics workflows
- Ability to document data models, dashboards, and alerting logic for reuse and maintainability.
Benefits
Comp & perks- Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
- Life Assurance Policies: Providing financial security for your loved ones.
- Modern Family Benefits: Support for maternity, paternity, and adoption needs.
- Long Service Award: Recognition for your dedication and loyalty.
- Celebratory Allowance/Gifts: Marking special occasions to celebrate with you.
- Flexible Benefits Plan : Offering you wider choice of services and products
- Employee Assistance Program : Access support for personal and work-related challenges.
- Flexible Working Arrangements: Balance work and personal life effectively.
- Access to Learning and Development Resources: Empowering your professional growth.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata science methodologiesAI modelsanomaly detectionforecastingpattern recognitionalerting frameworksdata profilingroot-cause analysisanalytics documentation
Soft Skills
collaborationproblem-solvingcommunicationanalytical thinkingattention to detailadaptabilitystakeholder engagementknowledge sharingoperational responsebusiness decision-making