AgroStar - Research Analyst

- We are looking for an analytical and detail-oriented research analyst to assist in improving the operations and decision-making of our business.

- The research analyst's responsibilities include researching, collecting, analyzing, and interpreting data, and using the data to guide the business's decision-making.

- A research analyst should be prepared to work in various sectors, such as marketing, business operations, and finance.

- To be a successful research analyst, you should have excellent mathematical, critical thinking, and communication skills.

- You should be flexible and able to work independently or in a team.

Research Analyst Responsibilities:

- Analyzing past operations' results and performing variance analyses.

- Identifying and analyzing trends and forecasts and recommending improvements to the business processes.

- Researching market trends, conducting surveys, analyzing data from competitors, and analyzing the business's operations, expenditures, and customer retention to identify patterns of potential issues or improvements.

- Using data analysis and interpretations to guide the decision-making of the business.

- Using operations data to develop pricing models and identify areas for improvement.

- Using statistical, economic, and data modeling techniques and tools.

- Organizing and analyzing data, creating charts and graphs, and presenting your findings to the leadership team.

- Providing recommendations to improve future business operations.

- Organizing and storing data for future research projects.

- Testing processes, policies, and protocols for efficiency and improvements.

Research Analyst Requirements:

- A bachelor's/master's degree in economics, finance, statistics, computer science, or related field.

- Experience in applied research or data management may be advantageous.

- Strong mathematical, analytical, and data modeling skills.

- The ability to manipulate large, complex data sets into manageable, understandable reports.

- Excellent problem-solving, communication, and team-working skills.

- Familiarity with data modeling software and Excel software.

- Attention to detail and organizational skill