Senior Data Analyst - Survey Analytics & Client Advisory

Walmart; Hoboken (NJ); On-site; USD 96,000 - 186,000; Full time

Benefits offered by this job

Discount Card

Live Better U 100% covered

Walmart Academy

401(k) matching

Paid time off

Comprehensive health benefits

Wellbeing programs

Job summary

Walmart is seeking a Senior Data Analyst in Hoboken, NJ to drive analytics for revenue-generating client engagements using primary survey-based market research. You will own end-to-end delivery, from proposals to client-ready outputs, in a client-facing role that partners with multiple business units.

The ideal candidate will bring deep survey research expertise, strong quantitative analysis skills, and the ability to translate complex findings into clear, actionable insights for both technical

Qualifications

• Experience in quantitative analysis and primary survey research in a client-facing setting.
• Comfortable with ambiguity and delivering quality work under evolving inputs.
• Proficiency in producing client-ready narratives and visualizations.

Responsibilities

• Lead survey analytics engagements: clarify business questions and define the analytical approach.
• Design and advise on primary survey research including sampling and advanced methods.
• Own end-to-end delivery from proposal support to client-ready outputs.
• Set and maintain data quality and QA aligned to global standards.
• Present findings clearly to clients and stakeholders.

Skills

Quantitative analysis

Survey research

Client-facing

Storytelling

Education

Bachelor's degree in Statistics, Economics, Mathematics, Analytics, or related field

Tools

R

Python

SAS

Job description

Walmart is seeking a Senior Data Analyst in Hoboken, NJ to drive analytics for revenue-generating client engagements using primary survey-based market research. You will own end-to-end delivery, from proposals to client-ready outputs, in a client-facing role that partners with multiple business units.

The ideal candidate will bring deep survey research expertise, strong quantitative analysis skills, and the ability to translate complex findings into clear, actionable insights for both technical