AI Analyst

About this role

#WeAreONEOK – Fortune 500 company. 100+ years in business. Leading midstream service provider. Safety first. Sustainable operations. Environmentally responsible. Employee focused.

JOB SUMMARY Job Profile Summary/Mission

Support the transition from traditional dashboards and reporting toward AI-enabled analytics. The AI Analyst combines AI tooling with operations domain expertise to provide decision support, automate recurring analytical work, and deliver reliable insight from operational data.

Essential Functions and Core Responsibilities • Decision support: Conduct root-cause analysis, benchmarking, and ad-hoc investigations in support of operations stakeholders. Apply AI tooling to reach well-supported conclusions more efficiently than conventional analysis alone. • Data ingestion and curation: Load operations data into analytical systems, identify and address anomalies, and enrich records with domain context through AI-assisted workflows. • Automation: Automate recurring data preparation, reporting, and analysis tasks. Convert repeated ad-hoc requests into self-service tools. • AI tooling application: Apply the AI systems, agents, and templates developed by Operations Analytics to deliver insight at scale. Provide structured feedback to inform ongoing improvements. • Prompt and configuration tuning: Refine prompts and agent configurations to optimize recurring analytical workloads for accuracy, cost, and performance. • Reporting: Prepare clear, well-supported analytical and technical reports for operations stakeholders that are rigorous enough to inform decisions and accessible enough to act upon.

Education • Bachelor's Degree Management Information Systems, Computer Sciences, Accounting, Finance, Business Administration, or other related field with specific job-related experience as follows:

Required Experience • Minimum 3 years in an analytical role (e.g., operations analyst, data analyst, process engineer, reliability 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 the distinction between raw instrument readings and validated operational data. • Clear, concise technical writing suited to operations and engineering audiences.

Preferred Experience • Direct midstream experience in pipelines, plants, measurement, hydraulics, or integrity.

How We Measure Success • Turnaround time on ad-hoc operations analysis requests. • Proportion of recurring analyses automated and transitioned to self-service. • Quality of curated data delivered to downstream users, measured by user feedback and error rates. • Contributions to prompt and agent configuration improvements that benefit shared AI tools across the team.

Team & Collaboration Primary users and partners are operations teams across ONEOK. Collaborates with the Data Steward on the delivery of clean, contextualized data; with the AI Engineer on tooling improvements; and with Forward Deployed Engineers on embedded analytical needs within strategic teams.

Knowledge, Skills and Abilities • Skills in: relational database design including table structures, indexes and primary/foreign key fields. • Skills in: use and function of office equipment including computers and applicable software. • Skills in: interacting, advising and communicating effectively. • Skills in: developing solutions to complicated issues using abstract thinking in new or complex situations. • Skills in: managing and prioritizing multiple assignments with competing deadlines. • Skills in: reading and interpreting correspondence, reports, production statistics, cost analyses, contracts, accounting statements, income statements, ledgers, manuals and legal documents. • Ability to: develop information, conduct meetings and present information to individuals and groups. • Ability to: apply math, algebra, statistical and volumetric methods. • Ability to: be self-motivated and self-directed. • Ability to: influence and facilitate discussions across a wide range of teams and technologies. • Ability to: mentor less experienced personnel on complex technologies.

Licenses and Certifications • None required

Strength Factor Rating - Physical Demands/Requirements • Sedentary Work - Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time, but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.

Strength Factor Description - Physical Demands/Requirements • Standing: Remaining on one's feet in an upright position at a work station without moving about (Occasionally) • Walking: Moving about on foot (Frequently) • Sitting: Remaining in a seated position (Constantly) • Lifting: Raising or lowering an object from one level to another (includes upward pulling) (Occasionally) • Carrying: Transporting an object, usually holding it in the hands or arms, or on the shoulder (Occasionally) • Pushing: Exerting force upon an object so that the object moves away from the force (Occasionally) • Pulling: Exerting force upon an object so that the object moves toward the force (includes jerking) (Occasionally) • Climbing: Ladders, Stairs (Occasionally) • Balancing: Maintaining body equilibrium to prevent falling (Occasionally) • Stooping: Bending the body downward and forward by bending the spine at the waist (Occasionally) • Kneeling: Bending the legs at the knees to come to rest on the knee or knees (Occasionally) • Crouching: Bending the body down

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