- Experience
- Any
- Salary
- USD 67,000 – USD 124,000 / year
- Openings
- 1
- Posted
- 7 hours ago
- Work mode
- Work from home
- Education
- Bachelor's Degree
- Eligibility
- Open to candidates possessing a bachelor's degree or equivalent qualifications in relevant fields, along with skills in mathematical modeling, data analysis, and programming.
- Resume
- Required to apply
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Job description
Position Overview
An Operations Research Analyst applies sophisticated mathematical, statistical, and computational methods to assist organizations in dissecting complex challenges, enabling smarter decision-making. This role primarily involves working extensively with large datasets extracted from company information systems, using programming languages such as Python or R to clean and transform data, followed by the construction of models designed to simulate real-world scenarios.
Daily Tasks
- Review emails and updated data feeds early in the day to check for new analysis requests and refresh datasets.
- Collaborate with operations managers to comprehend specific problems like increasing shipping expenses or warehouse inefficiencies, and define desired outcomes.
- Perform data preprocessing by addressing missing values, conducting statistical analysis, and detecting data trends or irregularities using Python or R.
- Develop optimization models, including linear programming or simulations, to explore different operational strategies such as delivery routing or adjusting staffing.
- Conduct sensitivity analyses by modifying key parameters to assess impact and identify critical factors.
- Create comprehensive reports and visual dashboards that simplify complex results into actionable business recommendations.
- Present findings to teams and stakeholders, discussing trade-offs and planning subsequent implementation steps.
Technical Tools and Platforms
- Programming languages: Python, R, C++, Perl, Scala, C, VBA, VBScript
- Operating systems: Linux, macOS, Unix, Bash shell scripting
- Databases and data tools: SQL, Amazon Redshift, MySQL, Microsoft Access, Microsoft SQL Server, Apache Hadoop, Apache Hive, Teradata, Apache Pig
- Analytics and statistical software: IBM SPSS, SAS, MATLAB, AMPL mathematical programming language
- Development environments/tools: Microsoft Visual Basic, LabVIEW
Salary Expectations
The median annual salary for this role is approximately $91,000, with typical earnings ranging between $67,000 and $124,000. Salaries vary by region, with the highest pay in states such as Virginia ($123K median) and Alabama ($118K median), and lower pay in states like Missouri ($56K median) and Oklahoma ($63K median).
Qualifications and Career Outlook
A bachelor's degree is generally required to pursue this position, though alternative credentials and relevant experience may also be considered. The job outlook is strong, with a projected 23% growth rate. The role offers a healthy work-life balance and involves mostly sedentary work with frequent collaboration and occasional extended hours.
Certifications and Memberships
- Certified Analytics Professional (CAP) - a validation of skills in analytics and modeling.
- INFORMS Certified Analytics Professional - emphasizing the full analytics lifecycle.
- Additional courses such as Professional Certificate in Operations Research and Data Analysis and Visualization Specialization are beneficial.
- Professional memberships with INFORMS offer access to industry resources and networking.