Research Analyst

Key Responsibilities 1.

Responsibilities

• Build market sizing and estimation models using top-down and bottom-up approaches, triangulating multiple data sources to arrive at robust numbers.
• 2.
• Develop market forecasts (5–10 year horizons) using statistical and econometric techniques, considering demand drivers, pricing trends, consumption patterns, and macroeconomic indicators.
• 3.
• Conduct extensive primary and secondary research to author original research reports on F&B markets.
• 4.
• Collect, validate, and analyze secondary data from company filings, trade databases, government statistics, industry associations, and paid databases.
• 5.
• Validate market estimates and assumptions through primary interactions with industry stakeholders such as manufacturers, distributors, and experts, using telephonic interviews, surveys, and discussions.
• Perform quantitative analysis including trend analysis, regression, CAGR calculations, scenario/sensitivity analysis, and data modelling.
• Translate numbers into clear insights and storylines that support key findings and client decisions.
• Understand client objectives and scope, design, and deliver customized research, including databases, samples, and reports.
• Present data using effective visualization tools and techniques in reports and presentations.
• Contribute to team brainstorming sessions to develop new research solutions and products that can be commercialized.
• Ensure data accuracy, consistency, and quality across models and deliverables.

Requirements

• & Experience • 2–3 years of experience in the market research or consulting industry • Minimum 1.5 years of research experience in the F&B domain • Proven hands-on experience in market sizing, estimation, and forecasting models • Strong quantitative and analytical skills with a good understanding of statistical techniques (regression, time-series forecasting, trend analysis) • Advanced proficiency in MS Excel (complex formulas, pivot tables, lookups, scenario modelling); working knowledge of PowerPoint and Word • Exposure to visualization tools such as Power BI or Tableau will be an added advantage • Ability to make associations between data points and tell the right story • Excellent written and verbal communication skills • Ability to work independently as well as part of a team • Strong time management skills and close attention to detail Educational Qualifications. (Food Science / Food Technology) or MBA, preferably with a background or specialization in Economics, Statistics, Finance, or Analytics.