Research Analyst II [PR0001E]
prosidian consultngCharlotte (NC)
Research Analyst II [PR0001E]
Posted today
prosidian consultngCharlotte (NC)
SENIORITY
Senior
About the role
Overview:
In this role you will support federal agricultural policy and program evaluations, focusing on the Onion Crop Insurance Program. You will work with cross-functional teams to analyze data, design surveys, and prepare evidence-based reports. The work helps improve agricultural programs, food security, and rural development through data-driven insights. This position offers exposure to government-facing projects and opportunities to influence policy and program design. Compensation / Benefits Competitive compensation Group health benefits (medical, dental, vision) 401(k) with company match Vacation and PTO Flex spending accounts and pre-tax benefits Referral bonus program
Responsibilities:
Conduct industry and policy research for the Onion Crop Insurance Program and related reports Analyze insurance experience, pricing, and plan provisions Create statistical summaries by region and crop metrics (liability, loss ratios) Evaluate variability between policy provisions and industry practices; identify vulnerabilities Perform pricing analysis and assess county yields; inform policy recommendations Prepare data analytics and visualizations (charts, maps) for evaluation reports Support survey design and data collection across insured and uninsured producers Collaborate with Research Analyst II & III to execute analyses and share insights Support end-to-end agricultural transformation and supply-chain improvement initiatives Contribute to the Onion Removal Pilot Issues Evaluation Report
Key requirements:
Consecutive relevant work experience within the past five years Proficiency with email and Microsoft Office (Word/Excel/PowerPoint) Ability to formulate research designs, collect and integrate data Ability to analyze, interpret, and communicate results effectively Experience working with multiple analysts to conduct analyses Knowledge of regional differences in crop yield and market risk factors Training in multiple research methods (survey, qualitative, experimental design) Bachelor degree in a quantitative discipline 3+ years of related experience; experience with relational databases and descriptive/predictive statistics Experience with agricultural data and government/private sector research is a plus Excellent written and oral communication Team collaboration and adaptability Curiosity and willingness to question status quo Relational databases Descriptive and predictive statistics Survey administration and data collection
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