Data Analyst – UX Research Operations

Job Title: Data Analyst – UX Research Operations

Location: New York, NY (Hybrid Role 3 days per week)

Duration: 12 Months W2 Contract (potential extensions)

Years of experience: 5 years

We are seeking an experienced Data Analyst to support a large, globally distributed User Experience (UX) Research organization. In this role, you will work closely with UX Researchers, Research Program Managers, and business leaders to turn complex data into actionable insights that improve research operations, efficiency, and decision‑making.

The ideal candidate is analytical, consultative, and comfortable operating in ambiguous environments—someone who enjoys building, storytelling with data, and influencing stakeholders through insights.

Responsibilities :

• Analyze and interpret business and operational data to uncover insights that drive process improvement and decision‑making
• Design, build, and maintain interactive dashboards and reports to support research programs and leadership teams
• Partner with cross‑functional stakeholders to translate business goals into measurable KPIs and reliable metrics
• Act as an internal consultant by scoping data requests, synthesizing insights, and recommending solutions
• Investigate data trends, identify risks or gaps, and propose mitigation strategies
• Manage multiple concurrent projects, balancing urgency, impact, and stakeholder needs
• Present analytical findings clearly to both technical and non‑technical audiences
• Enable self‑service analytics through well‑designed reporting and documentation.

Required Qualifications:

• Bachelor’s degree with 5+ years of experience (or master’s degree with 4+ years) in data analytics, consulting, finance, sales operations, HR analytics, or a related field
• Strong experience writing advanced SQL queries or working with similar programming/query languages
• Hands‑on experience building dashboards using Tableau and applying data visualization best practices
• Proven ability to manage projects involving multiple stakeholders and competing priorities
• Strong communication and data‑storytelling skills
• Experience working in fast‑paced, ambiguous environments.

Preferred / Nice‑to‑Have Skills

• Experience with Python, R, or similar scripting languages for data analysis or modeling
• Familiarity with ETL processes, data pipelines, APIs, and data integration from multiple sources
• Experience using CRM or business intelligence platforms
• Knowledge of statistical concepts such as descriptive statistics and statistical significance
• Experience automating workflows and improving efficiency using modern analytics or AI tools
• Strong business acumen and ability to influence stakeholders using data.