Bayer (Indonesia)

About this position

Responsibilities

• Conduct primary and secondary research to gather data on market trends, customer preferences, and competitive activities.
• Gather farmer insights, such as brand health checks, pre and post campaign evaluation, new launch, pricing studies, etc.
• Design and administer surveys, crafting effective questions, and ensuring the collection of accurate and relevant data to meet research objectives.
• Conduct focus groups, interviews and perform other research methodologies to collect relevant market information.
• Analyze quantitative and qualitative data to identify patterns, trends, and insights from various resources.
• Utilize statistical tools and software to interpret data and create comprehensive reports.
• Prepare detailed reports and presentations that communicate findings and recommendations to stakeholders by creating data-driven insights, charts, and visualizations in a clear, concise, and visually engaging manner.
• Monitor competitor activities and strategies to identify potential threats and opportunities.
• Provide ongoing competitive analysis and benchmarking reports.
• Work closely with marketing, field solution, market development, sales, and other departments to ensure market insights are integrated into their decision-making processes.
• Work closely with external research agencies and vendors when necessary to ensure the accuracy and quality of research.
• Identify emerging trends and potential market shifts to proactively inform business strategies.
• Provide forward-looking insights to help the company adapt to market changes.
• Prepare internal market data and report such as Optimus/Agrowin, Aghorizon, ACe, Croplife report, etc.
• Ensure data integrity and accuracy in all reports and analyses.

Requirements

• Bachelor's degree in Agriculture, Marketing, Business Administration, Psychology, Sociology, or a related field.
• 3-4 years of experience in shopper insights, market research, or a related field.
• Experience in both qualitative and quantitative research methods.
• Previous experience in working with consumer data analysis tools (e.g., SPSS, SAS, R, etc.) is preferred.
• Strong analytical and data interpretation skills.
• Proficiency in data analysis and visualization tools (e.g., Excel, Power BI, Tableau).
• Excellent communication and presentation skills.
• Ability to work independently and collaboratively in a team environment.
• Strong attention to detail and the ability to manage multiple projects simultaneously.

Benefits