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Linear Programming Analyst Jobs (NOW HIRING)

Kpler

Refineries Analyst

Houston, TX

Practical experience using industry-standard Linear Programming software (Aspen PIMS, AVEVA Unified ... Experience in leveraging AI tools (Claude, Cursor, etc) for data analysis & management, and general ...

Kpler

Refineries Analyst

Houston, TX

Practical experience using industry-standard Linear Programming software (Aspen PIMS, AVEVA Unified ... Experience in leveraging AI tools (Claude, Cursor, etc) for data analysis & management, and general ...

ITA International

Operations Research Analyst

$160K/yr

Develop mathematical optimization models using linear programming and integer linear programming methods * Develop analytical models to support decision-makers * Develop analytical algorithms to ...

Micron Technology

Sr. Operations Research Analyst

Boise, ID · On-site

$93K - $110K/yr

... Linear Programming (MILP). 2. Data Science Concepts: data mining, processing and analyzing data. 3. ... Using data visualization techniques/tools to understand the results of various analysis including ...

Micron

Sr. Operations Research Analyst

Boise, ID

$93K - $110K/yr

... Linear Programming (MILP). 2. Data Science Concepts: data mining, processing and analyzing data. 3. ... Using data visualization techniques/tools to understand the results of various analysis including ...

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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.

Refineries Analyst

Kpler

Houston, TX

Full-time

Posted 8 days ago

Key responsibilities

  • Maintain data integrity, capacity, and offline event records for individual refinery models and regional balances, utilizing the internal Linear Programming model for tuning.

  • Lead the effort to backtest and guide models using external data sources to ensure outputs align with physical market realities.

  • Collaborate with Data, Product, Engineering, and Sales teams to provide insights for refineries product development.

Job description

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.

Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.

Your future position

Kpler's Oil & Chemicals business unit is rapidly advancing its real-time analytics and is looking for a technically sharp, data-literate Refineries Analyst to join its growing global team.

In this role, you will take absolute ownership of the data integrity, maintenance, and quality control of our bottom-up refinery models. You will synthesize Kpler's industry-leading proprietary data-including live crude flows, production, pipeline volumes, and inventory levels-into a cohesive modeling framework, utilizing our internal Linear Programming (LP) model as a core tool for tuning and optimization. By connecting upstream inputs and offline events with real-world refinery capacities and yields, you will ensure our models seamlessly integrate into Kpler's broader Supply & Demand balances.

Because you are joining us during an ambitious product expansion, you will play a foundational role in the evolution of our platform. This is a truly hybrid-minded position where you will serve as the subject matter expert bridging the gap between physical market reality and technical architecture-partnering closely with our Product Engineering team to build, refine, and validate our most sophisticated fundamental datasets.

Your mission is to:

  • Maintain data integrity, capacity, and offline event records for individual refinery models and regional balances, utilizing the internal Linear Programming model for tuning.

  • Prioritize the validation and improvement of existing models; data quality and domain expertise are the critical drivers for this role.

  • Lead the effort to backtest and guide models using external data sources (EIA, JODI, IRR, ANP) to ensure outputs align with physical market realities.

  • Apply a deep understanding of distillation, reforming, FCC, and blending to optimize refinery circuit views and regional supply/demand dynamics.

  • Source and leverage large datasets using Python, PostgreSQL and  to automate data flows and improve model accuracy.

  • Collaborate with Data, Product, Engineering, and Sales teams to provide insights for refineries product development.

  • Respond to internal and external data requests and client queries in a timely manner.

Experience & Background

Essential:

  • At least 3-5 years of experience as a Refinery Economist, Refining Analyst,  LP Modeler or related roles.

  • A deep understanding of physical refinery unit operations (Distillation, Reforming, FCC, Blending, etc.) and refinery economics (flows, pricing, regulations, and arbitrage dynamics).

  • Practical experience using industry-standard Linear Programming software (Aspen PIMS, AVEVA Unified/Spiral, or Haverly GRTMPS) is essential to be functional in this role.

  • Comfortable with Python and PostgreSQL

  • Proven experience sourcing and leveraging external data (EIA/JODI/IRR) to model refineries.

  • Strong background in data-driven modeling, validation, and managing input data integrity (e.g., capacity and offline events).

Desirable:

  • Experience with refinery optimization, especially with a focus on circuit-wide views.

  • Experience with data visualization.

  • Past experience contributing to SaaS product or data improvement initiatives.

  • Experience in leveraging AI tools (Claude, Cursor, etc) for data analysis & management, and general workflow optimization

Behavioural Competencies:

  • Ownership of day-to-day work and strong attention to detail.

  • Self-starter, thrives in an ambitious, early-stage product environment without requiring direct supervision.

  • Eagerness to invest significant time in individual refinery tuning and bottom-up modeling.

  • Driven to find data to backtest and guide models.

  • Client-facing confidence.

Qualifications

  • Bachelor's degree in a technical or quantitative field, with proven experience applying modeling techniques in commercial or research environments

We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you've found your ideal destination. Are you ready to embark on this exciting journey with us?

We make things happen

We act decisively and with purpose, going the extra mile.

We build together

We foster relationships and develop creative solutions to address market challenges.

We are here to help

We are accessible and supportive to colleagues and clients with a friendly approach.

Our People Pledge

Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.

Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.

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