Job Description
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
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