Specialist - Data Engineering

Role Title : Data Analyst Data Mining Specialist AIDriven Analytics Prompt Engineering

Location:Plano,TX / Charlotte, NC / Pennington, NJ

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

Primary Skill

Splunk

Secondary Skill

Dynatrace Performance Engineering Analysis

Tertiary Skill