UX Data Analyst job description

A UX Data Analyst specializes in analyzing user behavior data to uncover insights that drive user experience improvements, directly contributing to enhanced product usability and increased customer satisfaction.

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What is a UX Data Analyst?

A UX Data Analyst is a professional who bridges the gap between user experience design and data analytics. They focus on interpreting quantitative and qualitative data to understand how users interact with products, identifying pain points, and providing evidence-based recommendations to optimize the user journey.

What does a UX Data Analyst do?

A UX Data Analyst collects and analyzes user data from various sources such as analytics tools, surveys, and usability tests. They create detailed reports and visualizations to communicate findings to designers and product teams, conduct A/B testing to validate design changes, and track key performance metrics to measure the impact of UX improvements on business goals.

Job Overview

We are seeking a skilled UX Data Analyst to join our dynamic team. This role involves analyzing user behavior data to drive product design decisions and enhance user experience across digital platforms. The ideal candidate will bridge the gap between data insights and user-centered design, ensuring our products meet both business goals and user needs in the competitive US market.

UX Data Analyst responsibilities include:

1. Collect and analyze quantitative and qualitative data from user interactions, including clickstream data, A/B test results, and usability studies. 2. Develop and maintain dashboards and reports to track key UX metrics such as conversion rates, engagement rates, and task success rates. 3. Collaborate with UX designers, product managers, and engineers to translate data insights into actionable design improvements. 4. Conduct heuristic evaluations and competitive analysis to identify UX opportunities and pain points. 5. Present findings and recommendations to stakeholders through clear visualizations and data-driven storytelling.
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Must-Have Requirements

1. Bachelor's degree in Data Science, Human-Computer Interaction, Statistics, or a related field. 2. 3+ years of experience in UX analytics, web analytics, or a similar role, with a proven track record of influencing product design. 3. Proficiency in SQL for data extraction and manipulation, and experience with analytics tools such as Google Analytics, Amplitude, or Mixpanel. 4. Strong analytical skills with the ability to interpret complex data sets and identify user behavior patterns. 5. Familiarity with A/B testing methodologies and statistical analysis techniques (e.g., regression, hypothesis testing).

Preferred Qualifications

1. Master's degree in a relevant field or equivalent practical experience. 2. Experience with data visualization tools like Tableau, Looker, or Power BI to create insightful dashboards. 3. Knowledge of user research methods, including surveys, interviews, and card sorting. 4. Background in working with cross-functional teams in agile development environments. 5. Understanding of web technologies (HTML, CSS, JavaScript) and their impact on user experience metrics.

Bonus Skills

1. Experience with advanced analytics techniques such as cohort analysis, funnel analysis, or predictive modeling. 2. Proficiency in programming languages like Python or R for custom data analysis and automation. 3. Certification in Google Analytics, Adobe Analytics, or similar platforms. 4. Portfolio showcasing data-driven UX improvements and impact on key business metrics. 5. Knowledge of accessibility standards (e.g., WCAG) and their implications for data collection and analysis.

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