Data Analyst with AI

Job Description:

Data Analyst Data Mining Specialist AIDriven Analytics Prompt Engineering

Job Summary

• We are seeking a highly skilled Data Analyst Data Mining Specialist with expertise in AIenabled analytics prompt engineering Splunk and Dynatrace Performance Engineering Analysis

Key Responsibilities

• AIDriven Analytics Prompt Engineering
• Design test and optimize AI prompts in Copilot to
• Accelerate data exploration and root cause analysis
• Automate insight generation from structured and unstructured data
• Develop reusable prompt frameworksplaybooks for common business use cases eg incident trends capacity risk KPI variance
• Partner with engineering teams to embed AIdriven analysis into workflows AIOps dashboards reporting
• Validate AIgenerated outputs for accuracy bias and business relevance
• Data Analysis Insight Generation
• Analyze large datasets to identify patterns trends and anomalies
• Use statistical techniques to generate insights and support business decisions
• Translate data findings into clear business narratives and recommendations
• Support predictive and diagnostic analytics initiatives
• Data Mining Advanced Modeling
• Using Incident data apply advanced techniques clustering classification anomaly detection to uncover hidden patterns
• Build and maintain predictive models leveraging machine learning and AI
• Perform exploratory data analysis to uncover unknown relationships in data
• Reporting Visualization AIEnabled Storytelling
• Build dashboards and visualizations Power BI Tableau etc to communicate insights
• Use AI tools to generate automated summaries trend explanations and executivelevel reporting
• Present findings to leadership with clear actionable recommendations
• Business Collaboration Decision Support
• Collaborate with stakeholders to define KPIs and analytics requirements
• Use AIassisted querying and analysis to respond rapidly to business questions
• Support strategic initiatives with datadriven insights
• Data Governance Quality Responsible AI
• Ensure data accuracy integrity and consistency
• Establish validation frameworks for AIgenerated insights and outputs
• Support governance auditability and compliance requirements critical in regulated environments
• Maintain documentation of models prompts and analytical workflows

Key Deliverables

• AIenhanced analytical models and datasets
• Prompt libraries reusable AI playbooks
• Executive dashboards and automated reports
• Predictive insights and anomaly detection outputs