Data Analyst / Data Mining Specialist

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.

• 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.