Survey Data Operations Analyst at Gallup in Omaha Riverfront

Summary: Gallup is a company dedicated to changing the world through extraordinary analytics and advice. As a Survey Data Operations Analyst, you will build and automate data workflows that transform complex survey data into reliable datasets, ensuring data quality and collaborating with various internal teams. Responsibilities: - Build and support data pipelines that ingest raw sample files, vendor files, API data and operational data and transform them into clean outputs for analysis and reporting - Organize respondent, project, survey, client and operational data into consistent and reusable datasets - Develop and maintain databases containing panelist, respondent and operational data - Validate data quality by checking completeness, accuracy, formatting and consistency and troubleshooting missing data, duplicates, file issues and schema changes - Ensure secure handling of sensitive and personally identifiable information - Automate manual and repetitive tasks by creating reusable scripts, templates, validation checks and scheduled jobs - Support workflows that move survey data into structured folders and reporting environments - Collaborate with analysts, methodologists, survey programmers, project managers, QA partners and other internal teams to translate business and research requirements into practical data solutions - Learn and apply survey data operations concepts including how sample, fielding and response data move through Gallup’s research processes Required Qualifications: - Bachelor's degree in computer science, management information systems, data analytics, mathematics, statistics, business, social science, market research or a related field required - Experience with Python, SQL and Excel required - A commitment to working on-site at Gallup's Omaha office at least three days per week required - Must currently reside within a 250-mile radius of Omaha, Nebraska - Eligibility to work in the United States required; this position is not eligible for employment visa sponsorship Preferred Qualifications: - Experience with R, APIs, Linux or command-line environments preferred - Experience building automated or repeatable data processes preferred - Experience working with structured data files or databases preferred - Exposure to survey or research data environments and interest in learning about survey research and data operations preferred Required Skills: Python, SQL, Excel, R, APIs, Linux, Data Pipeline Automation, Data Quality Validation, Survey Data Operations Benefits: Medical, dental, vision, life and other insurance options, A fully vested 401(k) retirement savings plan with company matching, An employee stock ownership program, Family-building benefits, An employee assistance program, Various reimbursements and activities that enhance our associates’ wellbeing