AI Analytics Engineer — Operations & Automation

ONEOK Services Company LLC; United States; On-site; USD 92,000 - 138,000; Full time

Job summary

ONEOK Services Company LLC is seeking an AI Analyst to advance analytics from dashboards toward AI-enabled decision support. You will blend AI tooling with operations expertise to automate recurring work and extract reliable insights from operational data.

The role emphasizes root-cause analysis, data curation, automation, and reporting for operations stakeholders, with focus on scalable AI-driven solutions.

Qualifications

• Minimum 3 years in an analytical role (e.g., operations/data analyst).
• Proficient in SQL and Python, including pandas and notebook environments.
• Hands-on experience applying LLM-based tools to analytical work beyond general-purpose querying.
• Operations domain knowledge and ability to translate data into actionable insights.
• Clear, concise technical writing suited to operations/engineering audiences.

Responsibilities

• Decision support: perform root-cause analysis, benchmarking, and ad-hoc inquiries for operations stakeholders using AI-enabled analytics.
• Data ingestion and curation: load data into analytics systems, address anomalies, enrich with domain context via AI workflows.
• Automation: automate recurring data prep, reporting, and analysis tasks; create self-service tools.
• AI tooling application: use AI systems and templates to deliver scalable insights and provide feedback for improvements.
• Prompt and configuration tuning: optimize prompts and agent settings for accuracy, cost, and performance.
• Reporting: produce clear, well-supported analytical and technical reports for operations stakeholders.

Skills

Operations analytics

Technical writing

Cross-functional collaboration

Education

Bachelor's Degree (MIS/CS/Accounting/Finance/Business Admin)

Tools

SQL

Python

Pandas

Job description

ONEOK Services Company LLC is seeking an AI Analyst to advance analytics from dashboards toward AI-enabled decision support. You will blend AI tooling with operations expertise to automate recurring work and extract reliable insights from operational data.

The role emphasizes root-cause analysis, data curation, automation, and reporting for operations stakeholders, with focus on scalable AI-driven solutions.