An Operations Analyst is responsible for analyzing and improving the operational performance of an organization. They work closely with an Operations Manager or team to identify areas for improvement, optimize processes, reduce costs, and increase profitability.

The typical duties of an Operations Analyst include:

1. Analyzing data: analyzing data and metrics to identify trends and opportunities for improvement.

2. Developing and implementing operational strategies: developing and implementing operational strategies that align with the organization's goals and objectives.

3. Monitoring and improving operational performance: monitoring operational performance and identifying areas for improvement, such as optimizing processes, reducing costs, and improving quality.

4. Conducting research: conducting research on industry trends, best practices, and other operations-related topics.

5. Developing reports: developing reports and presentations to communicate findings and recommendations to stakeholders.

6. Managing projects: managing projects related to improving operational efficiency, reducing costs, and increasing profitability.

7. Ensuring compliance with regulations: ensuring compliance with industry regulations, safety standards, and legal requirements.

8. Providing support to team members: providing support to team members, including administrative and project support.

The ideal candidate for an Operations Analyst position should possess excellent analytical and problem-solving skills, as well as strong attention to detail. They should have experience in operations management, including budgeting, forecasting, and process optimization. They should also have excellent communication skills, both verbal and written, and the ability to work in a fast-paced environment. A Bachelor's degree in Business Administration, Operations Management, or a related field is typically required for this position, with additional training or education in data analysis, statistics, or operations management preferred. Experience with data analysis software, such as Excel or Tableau, is also preferred.