AI Analyst

Flywheel Energy, LLC; Oklahoma City (OK); On-site; USD 90,000 - 120,000; Full time

Job summary

Flywheel Energy, LLC seeks an AI Automation Analyst in Oklahoma City to design, build, and maintain intelligent automations across Accounting systems. You will reduce manual tasks, improve data quality and visibility, and empower SMEs to focus on strategic work.

The role partners with the Accounting team to translate requirements into scalable automation solutions, applying scalable AI and workflow tools to modernize operations and support rapid and responsible growth.

Qualifications

• Experience designing and implementing automated workflows across ERP/accounting systems.
• Familiarity with AI-enabled automation and data governance.
• Ability to translate business requirements into scalable technical solutions.

Responsibilities

• Partner with key stakeholders to identify, scope, and implement automation solutions across Flywheel systems and workflows to eliminate manual tasks and reduce processing time.
• Build and maintain AI-assisted workflows and process automations to improve execution efficiency and accuracy across Flywheel's systems.
• Integrate Flywheel systems using API connections, data pipelines, and workflow orchestration tools.
• Evaluate and recommend emerging AI tools, large language model (LLM) applications, and robotic process automation (RPA) platforms.
• Support the evaluation and implementation of automation technology solutions, including AI-enabled platforms.
• Monitor deployed automations for errors, exceptions, and performance degradation; build automated alerting and self-correcting logic (retries, fallbacks, exception queues) rather than relying on manual log review and continuously improve reliability.
• Develop and document standard data models, analytical methodologies, and automation logic to support knowledge transfer and auditability.
• Stay current with AI, automation, and data engineering trends and recommend new capabilities that align with Flywheel's growth strategy.
• Maintain thorough documentation of automation logic, data flows, system integrations, and operational runbooks.
• Partner with IT and Digital teams on data governance, access controls, and security requirements for automated workflows handling sensitive ownership and financial data.
• Support acquisition onboarding by automating data normalization, validation, and migration tasks.

Skills

Automation

AI tooling

Data modeling

Data governance

APIs

RPA

LLM apps

Workflow orchestration

Tools

APIs

RPA platforms

Workflow automation tools

Data pipelines

Job description

Role Summary

At Flywheel Energy, we're not just growing - we're building momentum where it matters! As a fast-paced, innovative oil and gas company, we're looking for a technically sharp and business-minded AI Automation Analyst to join our team in Oklahoma City.

This role is responsible for designing, building, and maintaining intelligent automations across Flywheel's Accounting systems. The AI Automation Analyst will remove manual, repetitive tasks burdening the core team, improve data quality and visibility, and free subject-matter experts to focus on high-value and strategic work.

The role partners closely with the Accounting team to identify automation opportunities, translate business requirements into scalable solutions, and continuously improve the reliability and intelligence of Flywheel's operational workflows. A strong candidate will thrive in a fast-paced environment, bring a builder's mindset to automation challenges, and demonstrate a genuine passion for applying scalable AI and workflow tools to modernize the business and support rapid and responsible growth.

Key Responsibilities

Automation

• Partner with key stakeholders to identify, scope, and implement automation solutions across Flywheel systems and workflows to eliminate manual tasks and reduce processing time.
• Build and maintain AI-assisted workflows and process automations to improve execution efficiency and accuracy across Flywheel's systems.
• Integrate Flywheel systems using API connections, data pipelines, and workflow orchestration tools.
• Evaluate and recommend emerging AI tools, large language model (LLM) applications, and robotic process automation (RPA) platforms.
• Support the evaluation and implementation of automation technology solutions, including AI-enabled platforms.
• Monitor deployed automations for errors, exceptions, and performance degradation; build automated alerting and self-correcting logic (retries, fallbacks, exception queues) rather than relying on manual log review and continuously improve reliability.

Data Management

• Develop and document standard data models, analytical methodologies, and automation logic to support knowledge transfer and auditability.
• Stay current with AI, automation, and data engineering trends and recommend new capabilities that align with Flywheel's growth strategy.
• Maintain thorough documentation of automation logic, data flows, system integrations, and operational runbooks.
• Partner with IT and Digital teams on data governance, access controls, and security requirements for automated workflows handling sensitive ownership and financial data.
• Support acquisition onboarding by automating data normalization, validation, and migration tasks.