Entry-level operations research analyst resume example
An operations research analyst builds models that help people choose between options, such as how to schedule staff, route deliveries or set inventory levels. An entry-level operations research analyst resume should show that you can turn a messy real problem into an optimization or simulation model, solve it in Python or a solver, and explain the tradeoffs to the people who decide.
What this resume has to prove
The Bureau of Labor Statistics says "Operations research analysts use mathematics and logic to help organizations make informed decisions and solve problems." Their listed duties include identifying problems in areas such as business, logistics or healthcare, collecting and organizing information from sources such as databases, sales histories and customer feedback, gathering "input from workers or subject-matter experts", and developing and testing "quantitative models, support software, and analytical tools". BLS says analysts break a problem into its parts using statistical and database software, and that "They weigh the costs and benefits of alternative solutions or approaches in their recommendations to managers."
BLS says "Operations research analysts typically need at least a bachelor's degree, but some jobs require a master's degree," in operations research or a related field such as business, mathematics, engineering or computer science. It says students need extensive coursework in mathematics, and that computer science courses matter because analysts rely on statistical and database software. Among the important qualities, BLS says analysts "must be able to convey technical information in a way that is understandable to nontechnical audiences" and need to persuade managers to accept their recommendations. So the resume has to show models built on real data and recommendations you explained to real decision makers.
Sample resume
Sample resume (fictional)
B.S. Mathematics, Operations Research track, minor in Computer Science, Fenwick Hill University · May 2026
Coursework: Linear and Integer Programming, Stochastic Models, Simulation, Probability and Statistics, Data Structures
Senior capstone: volunteer shift scheduling, team of 4, for a regional food bank
- Interviewed the volunteer coordinator and two warehouse leads to list the staffing rules for each shift
- Built an integer programming model in Python with PuLP that assigns about 150 volunteers to weekly shifts while respecting availability and skill needs
- Presented two schedules to the coordinator, one that covered every shift and one that gave more volunteers their first choice, and explained what each one gave up
- Wrote a short user guide so the coordinator could rerun the model from a spreadsheet
Campus bus route simulation, Simulation course, team of 2
- Built a discrete-event simulation in SimPy of one campus bus route from a semester of ride counts shared by campus transportation, and compared two departure schedules
Undergraduate Research Assistant, Department of Mathematics · Pittsburgh, PA · September 2024 to May 2026
- Coded vehicle routing test instances in Python and ran them through Gurobi for a faculty project on delivery scheduling
- Logged solver run times and optimality gaps for 60 test instances and made the tables used in the project report
- Met weekly with the faculty advisor and a graduate student to review results
Peer Tutor, Calculus and Linear Algebra, Fenwick Hill tutoring center · 2023 to 2025
- Tutored about 8 students a week in one-on-one and small group sessions
Modeling: linear and integer programming, discrete-event simulation, queueing models, forecasting basics
Tools: Python (pandas, PuLP, SimPy), Gurobi (academic license), Excel Solver, R, SQL, Git
Communication: written reports, presentations to nontechnical partners
Education comes first with the math and modeling courses, because postings ask for them. Projects come next and lead with the capstone, because it is the closest thing to the real job: a real organization, a real problem, a model and a recommendation.
What to put in each section
Projects: the problem, the model and the decision
Write each project in the order the work happened. Who had the problem, and what were they deciding? What kind of model did you build, and in what tool? What options did you show, and what did each one give up? End with who received the recommendation. If you do not know what the organization did afterward, stop at who you presented to.
Weak bullets, rewritten
Experience: research, tutoring and other jobs
Research assistant work fits when it involved models, code or data, so say what you coded and what you ran. Tutoring math is worth a line, since BLS lists math skills and communication skills among the important qualities.
Education
List the degree, school and graduation month, then the courses that match: linear and integer programming, probability, simulation, statistics and programming. BLS notes that some jobs require a master's degree, so read the education line in each posting before you apply.
Skills to list
Operations research postings name methods and tools, such as "linear programming", "simulation", "Python" or "Gurobi". Use the same words for the ones you have really used, and note where. The University of Maryland career center also suggests mirroring the job description's keywords. Mark academic licenses and course-only tools as coursework.
Tools
- Python: pandas, NumPy and a modeling library such as PuLP or Pyomo
- Solvers: Gurobi, CPLEX or an open-source solver such as CBC
- Simulation: SimPy, Arena, AnyLogic or Simio
- Spreadsheets: Excel with Solver
- Data: SQL and R
- Version control: Git
Abilities
- Turning a vague problem into decision variables, constraints and an objective
- Checking that a model's answer makes sense on real data
- Comparing options and naming what each one gives up
- Writing a short memo for a nontechnical reader
- Gathering rules and data from the people who do the work
Common mistakes
- Invented impact. "Saved the food bank hours every week" needs a measurement you made. If you did not measure it, describe the model and who received it.
- Methods with no problem. "Linear programming, simulation, stochastic models" is a course list. Attach each method to a problem you solved with it.
- Only the math. A resume with no interviews, presentations or memos hides half the job. BLS says analysts need to persuade managers to accept their recommendations.
- Hiding the tradeoffs. Decision makers want to know what each option costs them, not only which one the model picked.
FAQ
How is this different from a data analyst resume?
A data analyst describes what happened and why. An operations research analyst builds a model of a decision and compares the options. If your projects are mostly dashboards and summaries, start from the entry-level data analyst example.
Operations research analyst or industrial engineer: which example fits?
Industrial engineers study work inside a facility, with time studies, layouts and standard work. BLS says operations research analysts typically work in an office setting, with models and data. If your projects were timed on a factory floor, see the industrial engineer new grad example. For inventory and shipping work, the entry-level supply chain analyst example may fit better.
How long should it be?
One page. Put model write-ups and code in a portfolio and link it in the contact line. For the overall layout, see How to write a new grad resume.
Check your resume free
Upload or paste your resume and see what to fix, in under a minute. Add a job post to see what's missing for that job. No sign-up.
Check my resumeMore resume examples
- Entry-level data analyst resume exampleBuilt around analysis projects, with bullets that show the question, the method and the finding.
- Industrial engineer new grad resume exampleTime studies, process flow maps, a layout project and a simulation model, written without claims you never measured.
- Entry-level supply chain analyst resume exampleA distribution center internship, warehouse work and a forecasting project, with bullets that tie data to the flow of goods.
See all resume examples.