Job Summary
We are seeking a highly skilled Data Analyst / Data Mining Specialist with expertise in AI-driven analytics, prompt engineering, Splunk, and Dynatrace Performance Engineering Analysis. The ideal candidate will leverage AI technologies to accelerate data analysis, uncover actionable insights, automate reporting, and support data-driven decision-making across the organization
Key Responsibilities
AI-Driven Analytics & Prompt Engineering
- Design, test, and optimize AI prompts using Microsoft Copilot and other AI-assisted tools to:
- Accelerate data exploration and root cause analysis.
- Automate insight generation from structured and unstructured datasets.
- Develop reusable prompt frameworks and playbooks for common business use cases such as:
- Incident trend analysis
- Capacity planning and risk assessment
- KPI variance analysis
- Collaborate with engineering and operations teams to embed AI-driven analytics into workflows, AIOps dashboards, and reporting solutions.
- Validate AI-generated outputs for accuracy, relevance, consistency, and bias mitigation.
Data Analysis & Insight Generation
- Analyze large and complex datasets to identify patterns, trends, correlations, and anomalies.
- Apply statistical techniques and analytical methodologies to generate actionable business insights.
- Convert analytical findings into meaningful business narratives and recommendations.
- Support predictive, diagnostic, and prescriptive analytics initiatives.
Data Mining & Advanced Analytics
- Utilize incident and operational data to perform:
- Clustering
- Classification
- Anomaly detection
- Pattern recognition
- Build, train, and maintain predictive models using machine learning and AI techniques.
- Conduct exploratory data analysis (EDA) to uncover hidden relationships and emerging trends.
Reporting, Visualization & AI-Enabled Storytelling
- Develop dashboards and visualizations using tools such as Power BI, Tableau, or similar platforms.
- Leverage AI tools to create automated summaries, trend explanations, and executive-level insights.
- Present analytical findings and recommendations to technical and business leadership.
Business Collaboration & Decision Support
- Partner with stakeholders to define KPIs, metrics, and analytics requirements.
- Use AI-assisted querying and analysis techniques to provide timely answers to business questions.
- Support strategic business initiatives through data-driven recommendations and insights.
Data Governance, Quality & Responsible AI
- Ensure data accuracy, integrity, consistency, and reliability.
- Establish validation frameworks for AI-generated insights and recommendations.
- Support governance, auditability, security, and compliance requirements, particularly in regulated environments.
- Maintain comprehensive documentation of datasets, models, prompts, and analytical workflows.
Preferred Qualifications
- Experience working with enterprise monitoring and observability platforms.
- Hands-on experience in AI-assisted analytics, operational intelligence, and incident management environments.
- Strong communication and stakeholder management skills.
- Ability to translate complex analytical findings into actionable business outcomes.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.
