IT Data Analyst II - AI-Driven BI & Snowflake Expert

TTI (TTI PE); Kentucky; On-site; USD 80,000 - 110,000; Full time

Job summary

TTI (TTI PE) is seeking an IT Data Analyst to support data, reporting, and analytics across CPT, OPE, and FC units. You will build and maintain Power BI reports, Snowflake layers, and data ingestion tools, partnering with the DAIE team and business stakeholders.

The role emphasizes SQL, Power BI, automation, and AI-enabled solutions, including Cortex Analyst/Agents and Copilot, with responsibilities to document data sources, monitor refreshes, and migrate legacy reporting into modern apps.

Qualifications

• Bachelor’s degree in business, CS, or related field or MBA with analytics focus.
• Proficiency with SQL for writing, troubleshooting, and optimization.
• Power BI report/dashboard development, data modeling, and DAX.
• Experience with Python preferred.
• Interest in AI coding agents (e.g., GitHub Copilot) and AI-enabled tools.

Responsibilities

• Provide day-to-day data analytics, reporting, and troubleshooting across CPT, OPE, FC units.
• Build, maintain, and enhance Power BI reports and semantic models.
• Write and optimize SQL queries for data prep and reporting.
• Assist with Snowflake data prep, transformation, and model refresh.
• Collaborate with DAIE and business stakeholders; document data sources and report logic.

Skills

SQL

Power BI

Python

AI tooling

Data modeling

Data visualization

GitHub Copilot

Education

Bachelor’s degree in business, CS, or related

MBA with data analytics focus

Tools

Snowflake

dbt

Azure Data Factory

Kubernetes

Docker

Job description

TTI (TTI PE) is seeking an IT Data Analyst to support data, reporting, and analytics across CPT, OPE, and FC units. You will build and maintain Power BI reports, Snowflake layers, and data ingestion tools, partnering with the DAIE team and business stakeholders.

The role emphasizes SQL, Power BI, automation, and AI-enabled solutions, including Cortex Analyst/Agents and Copilot, with responsibilities to document data sources, monitor refreshes, and migrate legacy reporting into modern apps.