Quantitative UX Researcher

Job Responsibilities: - Design and conduct quantitative UX research studies to evaluate user behavior and product usability. - Plan, execute, and analyze A/B tests and controlled experiments. - Define research objectives, hypotheses, success metrics, and measurement frameworks. - Analyze product metrics, user engagement, conversion funnels, retention, and feature adoption. - Extract and analyze data using SQL and product analytics tools. - Use statistical methods to validate research findings, including sample size calculations, confidence intervals, and statistical significance testing. - Collaborate with Product Managers, UX Designers, Data Analysts, and Engineering teams to support product strategy. - Create dashboards, reports, and presentations to communicate research findings and recommendations. - Identify user behavior patterns and opportunities for product optimization. - Translate complex quantitative insights into clear, business-focused recommendations. - Support product development by measuring the impact of new features and product improvements. - Stay updated with industry trends, research methodologies, and analytics best practices. Requirements: - Must have 3+ years of experience in UX Research, Quantitative UX Research, Product Research, Consumer Insights, behavioral research, or Experience Research, with a strong focus on quantitative research methodologies for digital products (Web/App). - Must have hands-on experience designing and executing quantitative UX research studies, including surveys, usability benchmarking, large-scale user feedback analysis, behavioral research, and statistical analysis to generate actionable product insights. - Must have strong hands-on experience with UX Research & Analytics tools such as Maze, Contentsquare, and practical exposure to A/B Testing/Experimentation platforms for usability testing, customer journey analysis, behavioral analytics, and experiment result interpretation. - Must have experience analyzing customer journeys, user behavior, funnels, clickstream data, heatmaps, session recordings, and digital experience metrics to identify friction points and optimization opportunities. - Must possess strong analytical skills with experience using tools such as SQL, Excel, Tableau, Power BI, GA4, Amplitude, Mixpanel, or similar for quantitative data analysis, reporting, and insight generation.