Research Analyst

HRM Counsel; India; On-site; INR 600,000 - 900,000; Full time

Job summary

HRM Counsel in India is seeking an analytical and detail-oriented research analyst to support operations and strategic decision-making. You will collect, analyze, and interpret data across marketing, operations, and finance to guide business choices and improve performance.

Responsibilities include variance analyses, identifying trends, developing pricing models, and presenting findings to leadership. You will organize data, create visuals, and collaborate with teams to implement data-driven

Qualifications

• Bachelor's or associate 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.
• Ability to manipulate large, complex data sets into manageable reports.
• Excellent problem-solving, communication, and team-working skills.
• Familiarity with data modeling software and Excel.
• Attention to detail and organizational skills.

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.

Skills

Analytical thinking

Detail-oriented

Mathematical skills

Data modeling

Communication skills

Teamwork

Problem solving

Education

Bachelor's or associate degree in Economics, Finance, Statistics, Computer Science, or related field

Tools

Excel

Data modeling software

Statistical software

Job description

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.

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.

Requirements:

• A bachelor's or associate 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 skills.