Operations Research Analyst-26257008
The Operations Research Analyst at Confidential Client's Emergency Medical Services Bureau applies advanced mathematical and statistical methods to analyze complex data, forecast trends, and evaluate processes to support emergency medical and fire services. This role involves creating predictive models, data visualizations, and cost analyses to inform decision-making and improve operational efficiency within a critical public safety environment. The position requires strong analytical skills, experience with data tools like Power BI, and the ability to communicate findings effectively while collaborating across multiple departments.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Scientific & QA.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role Overview
This Operations Research Analyst role supports Confidential Client’s Emergency Medical Services functions by applying mathematical, statistical, and simulation methods to analyze complex systems, forecast demand, and recommend operational improvements. The team uses modern analytics and visualization tools (Power BI or similar) to translate data into actionable insights for leadership and cross-functional partners.
What You’ll Do
- Apply mathematical modeling, predictive analytics, and queuing theory to analyze EMS and related operational data.
- Build, validate, and maintain simulation and statistical models to forecast trends and evaluate process changes.
- Create data visualizations and interactive dashboards (Power BI or equivalent) to make complex results accessible to stakeholders.
- Prepare clear, concise reports and presentations that translate technical findings into business recommendations.
- Perform cost analyses, program evaluation, and operational performance assessments.
- Collaborate with multiple business units and external partners to collect, clean, and interpret unfamiliar or cross-domain datasets.
- Support policy and project analysis, including impacts of demographic, economic, and legislative changes.
- Maintain accuracy, objectivity, and professionalism when presenting results and working with diverse teams.
Ideal Candidate
The ideal candidate will demonstrate most of the following:
- Prior experience in emergency medical services, healthcare systems, or closely related public-sector operations.
- Proven experience in data analysis, data modeling, and data visualization.
- Strong ability to manipulate large datasets and produce clear, actionable reports.
- Experience building dashboards in Power BI, Tableau, or similar platforms.
- High motivation and a continuous-learning mindset.
- Effective verbal and written communication skills; able to explain technical results to non-technical audiences.
- Strong interpersonal skills and a collaborative approach to problem-solving.
- Ability to filter and synthesize information from multiple sources into easy-to-understand formats.
- Experience performing cost analyses or program/evaluation studies.
Minimum Qualifications
- Bachelor’s degree or higher from an accredited college or university (or certified foreign equivalency) in mathematics, management science, operations research, industrial engineering, or a related field. Completed coursework must have included an internship or research project involving statistical analysis and the application of statistical computer programs.
- At least one year of experience performing analytical studies using advanced methodologies and technologies to formulate mathematical or simulation models, defining test parameters, constraints, assumptions, and numerical values.
- Application documents: If required by the hiring process, candidates must be prepared to provide transcripts, diploma, or foreign studies equivalency documentation for verification.
Compensation & Employment Type
- Salary range (posted): $89,315.20 – $108,576 per year. The starting salary will be based on the candidate’s qualifications at time of appointment.
- Future salary increase noted: June 2027 – 4.49% increase to base pay (3.00% Across-the-Board + 1.49% Market Adjustment).
- Employment Type: Full-time; Contract status available per hiring details.
Hiring Process & Timeline
- Interviews expected to take place the week of October 19, 2026.
- Job offer and background process will begin shortly after interviews for selected candidates.
- Pre-employment medical screening typically occurs approximately 3 days after successful background results.
- Anticipated start date will depend on medical screening and mutual agreement.
- Confidential Client uses blind applicant screening to remove personally identifiable information during initial evaluations to promote fairness and diversity.
Working Location & Team
This position is based in San Diego, CA and will work closely with the Emergency Medical Services Bureau and related offices supporting fire protection, EMS oversight, ambulance services, and cross-department operational initiatives.
Preferred Tools & Skills
- Proficiency with Power BI, Tableau, or similar dashboarding tools.
- Strong statistical programming skills (e.g., R, Python, SAS) and experience with data manipulation libraries.
- Experience with simulation tools and techniques, queuing theory, and predictive modeling.
- Familiarity with GIS, demographic datasets, and public-sector policy analysis is a plus.
Notes on Veterans & Accommodations
Confidential Client is committed to veteran hiring and professional development. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions. The organization values diversity and inclusion across its workforce.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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