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UX Researcher III California

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Alpha Net
Full Time position
Listed on 2026-01-13
Job specializations:
  • Research/Development
    Data Scientist
  • IT/Tech
    Data Scientist, Data Analyst
Job Description & How to Apply Below
Position: UX Researcher III at Alpha Net California
Location: California

UX Researcher III job at Alpha Net. California.

Job Summary

We are seeking a Quantitative UX Researcher with strong expertise in survey research, statistical analysis, and data-driven insights to support product and user experience decision-making. This role focuses on the design, execution, and analysis of large-scale tracking and longitudinal surveys, translating quantitative findings into actionable recommendations for cross‑functional teams.

The ideal candidate has a strong background in UX research, psychology, statistics, social sciences, or human‑computer interaction, and is comfortable working independently in fast‑paced, ambiguous environments.

Key Responsibilities
  • Design, manage, and execute large‑scale quantitative UX research studies, including tracking and longitudinal surveys
  • Develop survey instruments, questionnaires, and measurement frameworks
  • Analyze survey data using statistical methods such as descriptive analysis, regression, ANOVA, and hypothesis testing
  • Write clear, actionable research reports and insights to inform product, design, and business decisions
  • Prioritize and manage multiple research projects simultaneously in a rapidly changing environment
  • Collaborate with cross‑functional stakeholders including product managers, designers, engineers, and researchers
  • Ensure high data quality through proper sampling, weighting, validation, and data cleaning techniques
  • Contribute to improving research standards, methodologies, and best practices
Required Qualifications (Must‑Have Skills)
  • Bachelor's degree with 7+ years, Master's degree with 5+ years, or PhD with 2+ years of relevant UX or quantitative research experience
  • Strong proficiency in R (including Tidyverse) for data analysis
  • Proven experience in survey design, questionnaire development, and measurement strategy
  • Solid understanding of statistical analysis methods, including:
    • Descriptive statistics
    • Regression analysis
    • ANOVA
    • t-tests
  • Demonstrated experience conducting hands‑on primary research
  • Ability to generate actionable insights from complex datasets
  • Strong written and verbal communication skills
Preferred Qualifications (Nice‑to‑Have Skills)
  • Experience with Python for data analysis
  • Proficiency with Google Workspace (Docs, Sheets, Slides)
  • Experience with large‑scale tracking surveys or longitudinal research
  • Familiarity with survey platforms such as Qualtrics, Survey Monkey, or similar tools
  • Experience working in technology, digital products, or consumer‑facing platforms
  • Knowledge of advanced statistical techniques (e.g., SEM, multilevel modeling)
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