Gallup→
Data Analyst at Gallup in Omaha Riverfront
Entry LevelHybridFull-timeOmaha Riverfront$60k–$75k/yr
Skills
rpythonspssstatistical knowledgedata cleaningdata transformationai conceptsmachine learning concepts
Job Description
Summary: Gallup is a company that changes the world through extraordinary analytics and advice. As a Data Analyst, you will transform raw survey data into trusted insights, ensuring data quality and usability for high-stakes decisions.
Responsibilities:
- Clean, merge and transform raw survey datasets from Gallup data collection methods, vendor sources and client-provided files
- Apply data governance standards by removing or managing personally identifiable information and safeguarding sensitive data
- Execute data plans by recoding, restructuring and validating data for internal researchers and practice teams
- Perform independent data quality checks and proofs to ensure datasets are accurate, complete and ready for analysis
- Create datasets, tabs and index pilots based on project needs
- Support internal and external databases through ongoing data cleaning and quality control
- Partner with researchers, methodologists and internal stakeholders to ensure data accuracy and readiness
Required Qualifications:
- Bachelor's degree required, preferably in data analytics, data science or business intelligence; will consider May 2026 graduates
- Experience using R and Python required; SPSS preferred; proficiency in additional statistical and programming languages a plus
- Strong statistical knowledge required
- Demonstrated ability to clean and transform large datasets required
- Familiarity with AI and machine learning concepts and the current AI landscape required
- A commitment to working on-site at Gallup's Omaha office at least three days per week required
- Eligibility to work in the United States required; this position is not eligible for employment visa sponsorship
Preferred Qualifications:
- SPSS preferred; proficiency in additional statistical and programming languages a plus
Required Skills: R, Python, SPSS, Statistical knowledge, Data cleaning, Data transformation, AI concepts, Machine learning concepts
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
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