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Operations Analytics Jobs in Oklahoma (NOW HIRING)

Credit Agricole CIB

$150K - $180K/yr

By balance sheet size - The Banker, Juillet 2025 Reference 2026-113073 Update date 03/06/2026 Business type Types of Jobs - Operations Job title Vice President, Business Analyst - Capital Markets ...

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Operations Analytics information

Is operation analyst a good career?

Operations analysts play a key role in improving business efficiency by analyzing data, optimizing processes, and supporting decision-making. The role typically requires strong analytical skills, proficiency with data tools, and often offers opportunities for advancement and competitive salaries. It can be a good career choice for individuals interested in data-driven problem solving and operational improvements.

Is SOC analyst a high paying job?

SOC analysts typically earn competitive salaries that vary by experience, location, and employer. Entry-level positions may start lower, but with certifications like CompTIA Security+ or CISSP and experience, salaries can increase significantly, making it a well-paying role in cybersecurity.

What is the difference between Operations Analytics vs Data Analyst?

AspectOperations AnalyticsData Analyst
Required CredentialsBachelor's in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's in Statistics, Mathematics, or related fields; certifications in data tools beneficial
Work EnvironmentBusiness operations, supply chain, manufacturing settingsOffice environments, data-focused teams across industries
Employer & Industry UsageManufacturing, logistics, retail, healthcareFinance, marketing, technology, healthcare
Common Search & ComparisonFocuses on optimizing operations through data-driven insightsAnalyzes data to identify trends and support decision-making

Operations Analytics and Data Analysts both work with data, but Operations Analytics specializes in improving business processes and operational efficiency, often within specific industries like manufacturing or logistics. Data Analysts have a broader focus on analyzing data sets across various functions. Understanding these differences helps in choosing the right career path or job role.

What does an operations analyst do?

An operations analyst evaluates and improves business processes by analyzing data, identifying inefficiencies, and recommending solutions. They often use tools like Excel, SQL, or data visualization software to monitor performance metrics and support decision-making. Their work helps optimize operational efficiency and support strategic goals.

How much do operations analysts earn?

Operations analysts typically earn a median annual salary of around $65,000 to $75,000, with salaries varying based on experience, location, and industry. Entry-level roles may start lower, while experienced analysts with specialized skills or certifications can earn over $90,000 annually.
What are popular job titles related to Operations Analytics jobs in Oklahoma? For Operations Analytics jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Operations Analytics jobs in Oklahoma look for? The top searched job categories for Operations Analytics jobs in Oklahoma are:
Operations Analytics jobs near you
Infographic showing various Operations Analytics job openings in Oklahoma as of June 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.
Business Operations Analyst - Bilingual (German)

Business Operations Analyst - Bilingual (German)

micro1 AI

Tulsa, OK • Remote

$20 - $70/hr

Part-time

Posted 17 days ago

Job description

Job Title: Business Document Expert (German Speaker)

Job Type: Contract

Location: Remote (Ideally based in the US)


Job Summary

Join our customer's team as a Business Document Expert and play a pivotal role in evaluating and elevating the next generation of AI-driven productivity tools. In this fully remote role, you'll harness your business acumen and advanced Office Suite skills to ensure AI-generated business documents meet the highest standards of excellence, clarity, and professionalism.


Key Responsibilities

  1. Collaborate directly with AI systems to execute sophisticated business tasks using Excel, PowerPoint, and Word.
  2. Evaluate, critique, and deliver structured feedback on diverse AI-generated deliverables spanning finance, strategy, marketing, and operations.
  3. Design and test realistic business scenarios that reflect current professional workflows, including analysis, presentations, reporting, and proposals.
  4. Review AI outputs for precision, business relevance, and adherence to Fortune 500 or consulting-level quality standards.
  5. Communicate actionable insights and recommendations to cross-functional teams, driving continuous AI improvement.
  6. Annotate, document, and escalate recurring issues to ensure AI systems consistently meet business user needs.
  7. Champion quality, structure, and clarity in every deliverable, helping bridge the gap between business expertise and AI innovation.


Required Skills and Qualifications

  1. Bachelor’s degree or higher in Business, Finance, Economics, Marketing, or a related field.
  2. 3+ years of professional experience in business functions such as strategy, finance, marketing, operations, sales, or HR.
  3. Proven mastery of Excel, PowerPoint, and Word for creating polished, professional business deliverables.
  4. Exceptional analytical, organizational, and both written and verbal communication skills.
  5. Acute attention to detail with the ability to critically assess and provide clear, constructive feedback.
  6. Familiarity with AI tools (e.g., ChatGPT, Claude, Copilot) or an eagerness to quickly learn in an evolving, tech-focused environment.
  7. Self-starter attitude, thriving in an independent, remote, and fast-paced work environment.


Preferred Qualifications

  1. Experience at a Fortune 500 company, top-tier consulting firm, or leading financial institution.
  2. Background in AI evaluation, prompt engineering, or document automation tools.
  3. MBA or advanced degree, and experience mentoring or providing structured feedback on business deliverables.

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