AI Analytics Specialist - Operations Insight & Automation

ONEOK, Inc.; Dallas (TX); Hybrid; USD 92,000 - 138,000; Full time

Job summary

ONEOK, Inc. in Dallas seeks an AI Analyst to drive analytics modernization by combining AI tooling with operations expertise to deliver reliable insights from data.

Role includes decision support, data ingestion and curation, automation of recurring tasks, and tuning prompts for scalable analytics. Strong SQL and Python, including pandas, and hands-on LLM tool experience are required.

Qualifications

• Minimum 3 years in an analytical role (e.g., operations analyst, data analyst, process engineer).
• Proficient in SQL and Python, including pandas, notebook environments, and current business intelligence tools.
• Hands-on experience applying LLM-based tools to analytical work beyond general-purpose querying.
• Operations domain knowledge, including an understanding of raw instrument readings vs. validated data.
• Clear, concise technical writing suited to operations and engineering audiences.

Responsibilities

• Support the transition from traditional dashboards and reporting toward AI-enabled analytics.
• Ingest and curate data, identify anomalies, and enrich records with domain context through AI-assisted workflows.
• Automate recurring data preparation, reporting, and analysis tasks with self-service tools.
• Apply AI systems and templates to deliver scalable insights and provide structured feedback.

Skills

SQL

Python (pandas)

LLM tooling

Data analysis

Operations knowledge

Education

Bachelor's degree in MIS/CS/Accounting/Finance/Business Admin or related field

Tools

SQL

Python

Notebook environments

BI tools

Job description

ONEOK, Inc. in Dallas seeks an AI Analyst to drive analytics modernization by combining AI tooling with operations expertise to deliver reliable insights from data.

Role includes decision support, data ingestion and curation, automation of recurring tasks, and tuning prompts for scalable analytics. Strong SQL and Python, including pandas, and hands-on LLM tool experience are required.