Senior Data Analyst

• Lead survey analytics engagements by clarifying business questions, defining analytical approaches, and adapting to changing inputs
• Design and advise on primary survey research, including sampling and questionnaire input
• Apply advanced methods such as segmentation, Max Diff, and Conjoint
• Own end-to-end delivery from proposal support and analysis through insights and client-ready outputs
• Set and maintain data quality and analytical standards
• Perform validation and QA aligned with ISO/global processing standards
• Act as a trusted analytics consultant and methods expert
• Communicate complex findings clearly to influence decisions
• Partner with product, technology, design, and research teams on analytics productization
• Bring the client perspective into analytics solutions
• Support multiple business units in a client-facing analytics function

• Bachelor's degree in Statistics, Economics, Mathematics, Analytics, or a related field, or equivalent qualifying options stated in the minimum qualifications
• 5–6 years of experience in primary survey-based market research, consulting, or a comparable client-facing environment
• Minimum qualification alternative: bachelor's degree plus 2 years' experience in a related field, master's degree, or 4 years' related experience
• Experience in quantitative analysis and primary survey research in a client-facing setting
• Hands-on experience with advanced survey analytics, including statistical testing, regression, segmentation, pricing research, Max Diff, and Conjoint
• Experience delivering in a client-facing, revenue-generating analytics/research environment
• Proficiency in R, Python, SAS, or similar
• Ability to produce client-ready narratives and visualizations
• Ability to make sound decisions with incomplete or evolving inputs
• Ability to design practical, flexible approaches for complex or nonstandard questions
• Strong storytelling and presentation skills
• Nice-to-have: experience improving or formalizing analytical or research processes and standards
• Nice-to-have: experience supporting analytics productization or reusable research solutions
• Preferred qualifications include related industry experience and tools such as SQL, Python, Spark, Scala, R, Power BI, or Tableau

Demonstrates expertise in primary survey research and advanced analytics methods, including segmentation, Max Diff, and Conjoint, while effectively communicating insights to influence client decisions. Proficient in quantitative analysis and client-facing delivery, ensuring high data quality and adherence to global processing standards.

• Primary Survey Research
• Quantitative Analysis
• Advanced Survey Analytics
• Client-Facing Delivery
• R, Python, SAS

• Segmentation
• Max Diff
• Conjoint
• Statistical Testing
• Regression
• Pricing Research
• Data Quality Standards
• Validation and QA
• Client-Ready Narratives
• Visualizations

• Storytelling
• Presentation Skills
• Decision-Making
• Adaptability
• Client Perspective

• Market Research
• Analytics Productization
• Consulting
• Client-Facing Environment
• ISO Standards

• R
• Python
• SAS
• SQL
• Spark
• Scala
• Power BI
• Tableau