Data Analyst: Survey Data Quality & Insights

Gallup; Omaha (NE); On-site; USD 60,000 - 75,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement savings plan with matching

Employee stock ownership program

Fitness center

On-site cafeteria

Job summary

Gallup is hiring a Data Analyst in Omaha, Nebraska, to transform survey data into insights for impactful research. The successful candidate will clean and prepare complex datasets, validate data quality, and collaborate with teams to ensure data readiness for analysis. A bachelor’s degree in a relevant field and proficiency in R, Python, and statistical tools are required. The position offers a salary range of $60,000-$75,000 and a robust benefits package in a vibrant downtown office environment.

Qualifications

• Bachelor’s degree required, preferably in data analytics, data science or business intelligence.
• Experience using R and Python required; SPSS preferred.
• Strong statistical knowledge required.
• Demonstrated ability to clean and transform large datasets required.
• Familiarity with AI and machine learning concepts required.
• Commitment to work on-site at Gallup’s Omaha office required.

Responsibilities

• Clean, merge, and transform raw survey datasets.
• Apply data governance standards.
• Execute data plans by recoding, restructuring, and validating data.
• Perform independent data quality checks.
• Create datasets based on project needs.
• Support databases through data cleaning.

Skills

R

Python

Statistical knowledge

Data cleaning

AI and machine learning

Education

Bachelor’s degree in data analytics, data science or business intelligence

Tools

SPSS

Job description

Gallup is hiring a Data Analyst in Omaha, Nebraska, to transform survey data into insights for impactful research. The successful candidate will clean and prepare complex datasets, validate data quality, and collaborate with teams to ensure data readiness for analysis. A bachelor’s degree in a relevant field and proficiency in R, Python, and statistical tools are required. The position offers a salary range of $60,000-$75,000 and a robust benefits package in a vibrant downtown office environment.