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Linear Programming Analyst Jobs (NOW HIRING)

University of Pennsylvania

$58K/yr

Update of UPenn Dairy Ration Analyzer * Investigate and apply new non-linear programming technique to existing tools * Re-launch and modernize dairy decision dashboard program working with Dr. Dave ...

Turion Space

Principal Astronomical Engineer

Irvine, CA · On-site

$150K - $270K/yr

This team owns the flight dynamics, navigation, guidance, and mission analysis that let our ... Linear programming * Non-linear programming * Ability to design, develop, and test the ...

Turion Space

Principal Astronomical Engineer

Irvine, CA · On-site

$150K - $270K/yr

This team owns the flight dynamics, navigation, guidance, and mission analysis that let our ... Linear programming * Non-linear programming * Ability to design, develop, and test the ...

eTeam

Aspentech Developer

Richmond, VA · On-site

... • Analyze and suggest model improvements to address users concerns. • Coordinate with our ... Preferred : • Knowledge of SQL Server is desirable. • Knowledge of Linear Programming is a plus.

ComboCurve, Inc.

Senior Data Engineer, Python

Houston, TX · On-site +1

$109K - $131K/yr

Quantitative Analysis & Optimization * Collaborate with reservoir and operations teams to translate complex scheduling and logistics problems into mathematical models (e.g., linear programming ...

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Linear Programming Analyst information

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How much do linear programming analyst jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for linear programming analyst in the United States is $46.48, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $56.49 per hour, depending on experience, location, and employer.

What job makes $1,000,000 a year?

In the field of operations research, a Linear Programming Analyst typically earns a salary below $1,000,000 annually. High-level executives, successful entrepreneurs, or specialized financial traders are more likely to reach or exceed this income level, often through bonuses, investments, or business ownership. Achieving a $1,000,000 annual income generally requires advanced skills, extensive experience, and often a leadership or ownership position.

What are some common challenges faced by Linear Programming Analysts when implementing optimization solutions in real-world business settings?

Linear Programming Analysts often encounter challenges such as dealing with incomplete or inconsistent data, managing complex constraints that may not be easily translated into mathematical models, and ensuring stakeholder buy-in for recommended solutions. Additionally, real-world problems can change over time, requiring analysts to frequently update and adapt their models. Effective communication is also crucial, as analysts must explain technical results to non-technical team members and collaborate with various departments to ensure successful implementation.

How much do linear programmers make?

Linear Programming Analysts typically earn a median salary ranging from $60,000 to $100,000 annually, depending on experience, education, and industry. Professionals with strong analytical skills and proficiency in optimization tools like MATLAB or Python can command higher salaries, especially in specialized sectors such as finance or logistics.

What are the key skills and qualifications needed to thrive as a Linear Programming Analyst, and why are they important?

To thrive as a Linear Programming Analyst, you need a solid background in mathematics, operations research, and data analysis, typically supported by a degree in mathematics, engineering, or a related field. Proficiency in optimization software such as CPLEX or Gurobi, programming languages like Python or MATLAB, and familiarity with data visualization tools are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and present complex solutions to stakeholders. These competencies are essential for developing efficient models that drive informed decision-making and optimize organizational performance.

What is the difference between Linear Programming Analyst vs Operations Research Analyst?

AspectLinear Programming AnalystOperations Research Analyst
Required CredentialsBachelor's degree in mathematics, statistics, or related field; certifications like CAP or PMPBachelor's or master's in operations research, mathematics, or engineering; similar certifications
Work EnvironmentCorporate offices, consulting firms, government agenciesSimilar settings, often in consulting, government, or large corporations
Industry UsageSupply chain, logistics, manufacturing, financeLogistics, transportation, healthcare, manufacturing
Job FocusDeveloping and applying linear programming models to optimize processesAnalyzing complex systems to improve decision-making using various analytical methods

Both roles involve analytical skills and quantitative modeling, but Linear Programming Analysts primarily focus on linear models for optimization, while Operations Research Analysts use a broader range of techniques to solve complex problems across industries.

What jobs pay $2000 a day?

In the field of linear programming analysis, highly specialized consultants or senior analysts with extensive experience and advanced skills in optimization, often working on complex projects or for high-paying clients, can earn around $2,000 per day. Such roles typically require advanced degrees, certifications, and proficiency with tools like MATLAB or Gurobi, and may involve contract or freelance work with flexible schedules.

What jobs make $10,000 a month without a degree?

A Linear Programming Analyst typically requires specialized skills in optimization and data analysis, and such roles often pay well but usually require a degree or relevant experience. However, some high-paying jobs without a degree include sales managers, real estate brokers, or skilled trades like electricians and commercial pilots, which can reach or exceed $10,000 monthly with experience. Success in these roles depends on skills, certifications, and performance rather than formal education alone.

What does a Linear Programming Analyst do?

A Linear Programming Analyst specializes in using mathematical models to optimize processes and decision-making in various industries. They formulate problems as linear equations and inequalities, then use computational techniques to find the best possible solutions within given constraints. Their work often helps organizations minimize costs, maximize profits, or efficiently allocate resources. These analysts collaborate with management and technical teams to interpret data and implement solutions. They play a critical role in industries like logistics, manufacturing, finance, and operations research.
More about Linear Programming Analyst jobs
What states have the most Linear Programming Analyst jobs? States with the most job openings for Linear Programming Analyst jobs include:
What job categories do people searching Linear Programming Analyst jobs look for? The top searched job categories for Linear Programming Analyst jobs are:
Linear Programming Analyst jobs near you
Infographic showing various Linear Programming Analyst job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 68% Physical, 3% Hybrid, and 29% Remote job distribution, with an average salary of $96,677 per year, or $46.5 per hour.
Analyst II, Full Stack (Customer Servicing Analytics)

Analyst II, Full Stack (Customer Servicing Analytics)

Affirm

Remote

Full-time

Posted 15 days ago

Job description

Job Summary:
Affirm is reinventing credit to make it more honest and friendly, and they are seeking an Analyst II for their Operations Analytics team. The role involves using data to shape servicing strategies and requires strong analytical skills, along with the ability to apply AI in various stages of the analytics workflow.
Responsibilities:
• Build and maintain forecasting models, using time series, regression, and machine learning, to support contact forecasting, headcount and license planning, and budgeting.
• Partner with stakeholders to frame planning and forecasting problems, develop supporting metrics and diagnostics, and support high-quality decisions.
• Surface productivity and efficiency improvements using budget and financial performance data.
• Present recommendations to leadership, drive timely decisions, and communicate clearly with cross-functional partners.
• Partner with operational planning and other analytics teams to understand the business context for headcount and workforce scheduling, and get the data needed for accurate forecasts.
• Stay current on the business and our changing technical environment.
Qualifications:
Required:
• Bachelor's, Master's, or PhD in a quantitative field (e.g., statistics, industrial engineering, operations research) and 5+ years solving forecasting, planning, or related quantitative problems.
• Strong proficiency in SQL and Python or R, and hands-on experience with a modern cloud-native data platform (e.g., Databricks, Snowflake, BigQuery, or equivalent).
• Hands-on experience using AI/LLM tooling across the analytics workflow: writing, validating, and iterating on AI-generated SQL and Python, and integrating AI outputs into analyses that stakeholders trust.
• Strong experience developing and validating statistical forecasting models, with disciplined approaches to performance measurement, backtesting, and robust error tracking.
• Proven ability to independently structure ambiguous problems and select the appropriate analytical approach without predefined direction.
• Clear, persuasive communicator with strong stakeholder management skills and the ability to influence senior leaders across technical and non-technical audiences.
• Strong bias toward automation: treat repetitive manual work as avoidable drudgery and build durable, automated systems, delegating to machines what they can do more reliably and efficiently than humans.
• High standards of humility, honesty, and ownership: you take responsibility for outcomes, invest in your own growth, and actively develop others.
Preferred:
• Experience building optimization models using linear programming techniques (e.g., CPLEX, Gurobi) is a plus.
Company:
Affirm is a financial technology services company that offers installment loans to consumers at the point of sale. Founded in 2012, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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