Senior Operations Research Analyst

Vintti is a strategic staffing agency that enhances the competitiveness of US businesses. By connecting SMBs, startups, and firms with highly skilled Latin American professionals, we offer a cost-effective solution to talent acquisition. Our model allows companies to access top-tier expertise at rates that significantly reduce overhead costs, enabling businesses to allocate resources more efficiently and boost their bottom line.

A Senior Operations Research Analyst plays a crucial role in enhancing organizational efficiency and solving complex problems through advanced analytical methods. They are responsible for developing and implementing mathematical models and data-driven strategies to inform decision-making and optimize processes. Leveraging skills in statistics, programming, and big data analysis, these professionals analyze operational issues and forecast outcomes to propose cost-effective solutions. Collaborating with cross-functional teams, they ensure that strategic initiatives align with the company's goals, ultimately driving improved performance and competitive advantage.

- Master's or Ph.D. in Operations Research, Mathematics, Statistics, Industrial Engineering, or a related field.
- Minimum of 5-7 years of experience in operations research, data analysis, or a related area.
- Proficiency in mathematical modeling, optimization techniques, and simulation.
- Strong data analysis skills using statistical methods.
- Advanced knowledge of programming languages such as Python, R, and SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Proven ability to create and interpret complex reports and visualizations.
- Excellent problem-solving and analytical thinking skills.
- Experience with algorithm design and testing.
- Ability to gather, clean, and analyze large datasets from diverse sources.
- Strong understanding of predictive modeling and forecasting techniques.
- Familiarity with automated systems and processes development.
- Understanding of regulatory standards and compliance requirements.
- Strong communication and presentation skills.
- Experience working collaboratively with cross-functional teams.
- Prior experience in mentoring and providing guidance to junior team members.
- Ability to document models, analyses, and project deliverables in detail.
- Knowledge of current advancements in operations research and related technologies.
- Strong organizational and time-management skills.
- Experience with cost-benefit and risk analysis.
- Ability to assess the feasibility and impact of new projects.
- Capable of providing strategic analytical insights.
- Experience in preparing proposals and justifications for project funding.

- Develop and implement mathematical models and optimization techniques for decision-making.
- Conduct detailed statistical data analyses to identify trends and insights.
- Perform simulations to evaluate strategy outcomes and performance.
- Collaborate with cross-functional teams to define project objectives and methodologies.
- Gather, analyze, and ensure the accuracy of data from various sources.
- Create and present comprehensive reports and visualizations for stakeholders.
- Design and test algorithms to address complex operational issues.
- Identify and recommend data-driven improvements in existing processes.
- Guide and mentor junior analysts in proper methodologies and practices.
- Document models, analyses, and project deliverables comprehensively.
- Stay updated on advancements in operations research and relevant fields.
- Assess feasibility and impact of new projects from an operational perspective.
- Evaluate performance of operational systems and processes.
- Work with IT to develop and implement automated systems and processes.
- Ensure regulatory and internal policy compliance in projects.
- Provide analytical insights during strategic planning and development meetings.
- Use programming languages (e.g., Python, R, SQL) for data analysis and model development.
- Conduct cost-benefit and risk analyses to support decisions on investments and resource allocation.
- Develop and validate predictive models for forecasting trends and performance.
- Assist in preparing proposals and justifications for project funding.

The ideal candidate for the Senior Operations Research Analyst role will have a Master's or Ph.D. in Operations Research, Mathematics, Statistics, Industrial Engineering, or a related field, coupled with 5-7 years of hands-on experience in operations research and data analysis. This individual will possess deep expertise in mathematical modeling, optimization, and simulation techniques, and demonstrate exceptional proficiency in programming languages such as Python, R, and SQL for developing robust data models and analyses. They will exhibit strong statistical analysis capabilities, adeptly identifying trends and deriving actionable insights from complex data sets using advanced visualization tools like Tableau or Power BI. The perfect fit will be a problem-solver with a keen analytical mindset, capable of designing and testing sophisticated algorithms to address intricate operational challenges. They will have a proven track record of working collaboratively with cross-functional teams, articulating complex findings to non-technical stakeholders with clarity and precision, and offering strategic, data-driven recommendations. Additionally, the candidate will demonstrate leadership and mentoring experience, guiding junior team members in best practices and methodologies. Personal attributes such as attention to detail, a strong commitment to data integrity, adaptability to new technologies, and a proactive approach to continuous improvement will distinguish them as a standout candidate. This individual will bring excellent organizational skills, an unwavering commitment to regulatory compliance, and the ability to manage multiple projects and deadlines with ease, all while staying abreast of the latest advancements in the field. Their dedication to continuous learning and innovative thinking will drive them to not only meet but exceed the expectations of the role.

- Develop and apply mathematical models and optimization techniques to support decision-making processes.
- Conduct detailed data analyses using statistical methods to identify trends, patterns, and insights.
- Perform simulations to predict outcomes and assess the performance of various strategies.
- Collaborate with cross-functional teams to define project objectives, requirements, and methodologies.
- Gather and analyze data from diverse sources, ensuring data integrity and accuracy.
- Create and present detailed reports and visualizations that communicate complex analytical findings to stakeholders.
- Design and test algorithms to solve complex operational problems.
- Identify areas of potential improvement in existing processes and recommend data-driven solutions.
- Provide guidance and mentorship to junior analysts and team members in best practices and methodologies.
- Develop and maintain documentation of models, analyses, and project deliverables.
- Stay updated with the latest advancements in operations research, data analytics, and relevant technologies.
- Evaluate the feasibility and impact of new projects and initiatives from an operational perspective.
- Conduct performance assessments of operational systems and processes.
- Work closely with IT teams to develop and implement automated systems and processes.
- Ensure compliance with regulatory standards and internal policies during project execution.
- Participate in strategic planning and development meetings to offer analytical insights.
- Utilize software tools and programming languages (e.g., Python, R, SQL) for data analysis and model development.
- Perform cost-benefit and risk analysis to support investment and resource allocation decisions.
- Develop and validate predictive models to forecast business trends and operational performance.
- Assist in the preparation of proposals and funding justifications for new projects.

- Strong analytical mindset and attention to detail
- Proven capability to solve complex problems using mathematical and statistical techniques
- Effective communication skills for articulating intricate findings to non-technical stakeholders
- Ability to work independently and take initiative in ambiguous situations
- Strong collaborative skills and ability to work well within cross-functional teams
- Demonstrated leadership and mentorship abilities
- High level of integrity and commitment to ensuring data accuracy and integrity
- Adaptability to evolving technologies and methodologies in operations research
- Innovative thinking with a proactive approach to identifying and implementing improvements
- Strong organizational skills and ability to manage multiple projects and deadlines concurrently
- Committed to continuous learning and staying updated with industry trends and advancements

- Competitive salary range based on experience and qualifications
- Comprehensive health insurance plans, including medical, dental, and vision coverage
- Flexible work schedule with options for remote work
- Generous paid time off (PTO) policy, including holidays, vacation, and sick leave
- Retirement savings plans with company match
- Professional development opportunities and training programs
- Tuition reimbursement for advanced education courses
- Employee wellness programs and resources
- Performance-based bonuses and incentives
- Opportunities for career advancement and promotions
- Access to cutting-edge tools and technologies
- Collaborative and inclusive work environment
- Company-sponsored events and team-building activities
- Employee assistance programs (EAP) for mental health and well-being
- Relocation assistance for qualifying candidates
- Paid parental leave policies
- Discounts on company products and services
- Health and wellness stipends or subsidies
- On-site fitness center or gym membership reimbursement
- Well-equipped and ergonomic workspaces