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Operations Research Analyst Jobs in Austin, TX (NOW HIRING)

As a data analyst in global operations, you'll have the opportunity to combine your analytical ... Operations Research, or equivalent practical experience * Advanced proficiency in SQL, and ...

Perform operations research analysis duties in furtherance of analyzing and solving data processing problems and business analytics needs. Build and/or maintain enterprise data reporting and ...

Staff Analyst

Austin, TX · On-site

$157 - $218/hr

Master's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Finance, Operations Research, Physics, or related field) * Experience with Python and SQL * Strong analytical and ...

Our Global Business Solutions (GBS) team partners across Retail, Sales, Operations, R&D, and ... We are seeking a Cash Applications Analyst to join our Americas (AMR) Order-to-Cash team, with ...

Data Analyst

Austin, TX · On-site

$90 - $130/hr

The team is seeking a data analyst who will analyze operational data, track the Quality of ... operations research, engineering, or related discipline. #J-18808-Ljbffr

The team is seeking a data analyst who will analyze operational data, track the Quality of ... applied mathematics, operations research, engineering, or related discipline. Minimum ...

The team is seeking a data analyst who will analyze operational data, track the Quality of ... operations research, engineering, or related discipline.

Operations support staff roles often encompass multiple areas including data management, metrics ... Conduct research when applicable * Manage program data and conduct complex analysis * Perform data ...

Operations support staff roles often encompass multiple areas including data management, metrics ... Conduct research when applicable * Manage program data and conduct complex analysis * Perform data ...

Operations Analyst

Austin, TX · On-site

$52 - $74/hr

Operations support staff roles often encompass multiple areas including data management, metrics ... Conduct research when applicable * Manage program data and conduct complex analysis * Perform data ...

Data Analyst

Austin, TX · On-site

$90 - $130/hr

The team is seeking a data analyst who will analyze operational data, track the Quality of ... operations research, engineering, or related discipline. Apple is an equal opportunity employer ...

Research Librarian Drive Operational Excellence At Ashurst Perkins Coie US LLP , our people are our ... What You'll Do Research & Analysis * Delivers legal and business research with minimal supervision ...

Showing results 21-40

Operations Research Analyst information

See Austin, TX salary details

$43.1K

$101.5K

$134.8K

How much do operations research analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for operations research analyst in Austin, TX is $101,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $115,400.00 per year, depending on experience, location, and employer.

What is an operations research analyst?

An operations research analyst works with a company to analyze relevant data to improve business operations. Their primary duties involve setting goals, identifying potential problems, gathering pertinent information, and then using a variety of analytical methods to come up with solutions. The job requires strong analytical skills as well as the ability to think critically. Additional qualifications include a minimum of a bachelor’s degree in operations research or management science, although many employers prefer a master’s degree. Those interested in a career as an operations research analyst must have research experience in an office setting.

What are the key skills and qualifications needed to thrive as an operations research analyst?

To thrive as an Operations Research Analyst, you need strong analytical, mathematical, and problem-solving skills, typically supported by a degree in operations research, mathematics, engineering, or a related field. Proficiency with statistical analysis software, optimization tools like CPLEX or Gurobi, and programming languages such as Python or R is commonly required. Effective communication, critical thinking, and collaboration skills help translate complex data into actionable recommendations for stakeholders. These abilities are crucial for delivering data-driven solutions that improve organizational efficiency and decision-making.

What are some common challenges operations research analysts face when translating analytical findings into actionable business strategies?

Operations Research Analysts often encounter challenges in communicating complex quantitative findings to stakeholders who may not have technical backgrounds. Bridging the gap between advanced mathematical models and practical business decisions requires strong communication skills and a deep understanding of the organization's objectives. Additionally, analysts may face resistance to change when proposing new, data-driven strategies, so being able to justify recommendations with clear, accessible insights is crucial. Collaborating closely with cross-functional teams helps ensure solutions are both technically sound and aligned with operational realities.

What is the difference between Operations Research Analyst vs Data Analyst?

AspectOperations Research AnalystData Analyst
Required CredentialsBachelor's degree in operations research, mathematics, or related field; often certifications in analytics or optimizationBachelor's degree in statistics, mathematics, or related field; certifications in data analysis or visualization
Work EnvironmentCorporate, government, or consulting firms focusing on optimization and decision-makingBusiness, marketing, finance, or healthcare sectors analyzing data trends
Employer & Industry UsageOrganizations seeking to improve operational efficiency and decision processesCompanies aiming to interpret data for strategic insights and reporting

Operations Research Analysts focus on optimizing complex systems and decision-making processes using mathematical models, while Data Analysts interpret data to identify trends and support business decisions. Both roles require analytical skills and often similar educational backgrounds, but their core functions differ in scope and application.

How much do operations research analysts make?

Operations research analysts in New York City typically earn a median annual salary of around $85,000 to $100,000, depending on experience and industry. Salaries can vary based on factors such as education, certifications, and the complexity of projects handled. The role often requires strong analytical skills and proficiency with tools like optimization software and statistical analysis programs.

What are the most commonly searched types of Operations Research Analyst jobs in Austin, TX?

The most popular types of Operations Research Analyst jobs in Austin, TX are:

What are popular job titles related to Operations Research Analyst jobs in Austin, TX?

For Operations Research Analyst jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Operations Research Analyst jobs in Austin, TX look for?

The top searched job categories for Operations Research Analyst jobs in Austin, TX are:

What cities near Austin, TX are hiring for Operations Research Analyst jobs?

Cities near Austin, TX with the most Operations Research Analyst job openings:

Infographic showing various Operations Research Analyst job openings in Austin, TX as of August 2026, with employment types broken down into 83% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $101,537 per year, or $48.8 per hour.

Data Analyst, Global Operations

Meta

Austin, TX • On-site

$125K/yr

Full-time

Re-posted yesterday


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies


Job description

At Meta, we are experiencing an extraordinary wave of innovation in automation and intelligent tools that is transforming how we drive impact through data & analytics. As a data analyst in global operations, you’ll have the opportunity to combine your analytical expertise with an AI-first mindset to design and deploy analytical solutions that drive strategic decision-making and operational efficiency at a global scale. You will partner with operational, data science, data engineering, and product teams globally to optimize processes, automate workflows, provide data-driven insights, and uplift the team’s proficiency in leveraging new technologies.
Data Analyst, Global Operations Responsibilities:
  • Partner with operations, data science, engineering, and product teams to address complex business challenges through AI-first analytical strategies and solutions
  • Build, maintain, and optimize scalable data pipelines, dashboards, automated reports, and self-service tools for teams across Meta
  • Champion the adoption and integration of AI tooling within analytics workflows, educating and uplifting team proficiency in modern solutions and innovative thinking
  • Communicate complex insights clearly to technical and non-technical stakeholders, influencing decisions and business outcomes
  • Continuously explore and experiment with emerging technologies and automation methods to advance the team’s analytics offerings

Minimum Qualifications:
  • 7+ years of experience in analytics, operations, product, engineering, or related fields—ideally within deadline-focused tech environments or consulting
  • Bachelor’s degree in a quantitative discipline such as Computer Science, Data Science, Statistics, Mathematics, Operations Research, or equivalent practical experience
  • Advanced proficiency in SQL, and experience with Python, for data analysis and automation
  • Proven experience building and deploying scalable data pipelines and productionizing dashboards using BI tools (e.g., Tableau)
  • Track record of proactively using AI tools to drive productivity and innovation across projects and teams (bonus for championing AI adoption and education within teams)
  • Solid understanding of statistical analysis with practical application to real-world business problems
  • Demonstrated ability to independently manage analytics projects end-to-end, from problem definition to business adoption and impact measurement

Preferred Qualifications:
  • Master’s degree or higher in a quantitative discipline such as Data Science, Statistics, Mathematics, Computer Science, or a related field
  • Hands-on experience with AI/ML model development, deployment, and/or integration

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$125,000/year to $178,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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