UX Researcher III at Alpha Net 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,

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, 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) #J-18808-Ljbffr Alpha Net