Data Analyst – UX Research Operations
Intelliswift - An LTTS Company, New York, NY, United States
Job Title:
Data Analyst – UX Research Operations
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.
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.
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Data Analyst – UX Research Operations
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.
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.
#J-18808-Ljbffr