UX Researcher III Job at Alpha Net, California

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  • Alpha Net
  • California

Job Description

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, SurveyMonkey, 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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