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# (USA) Senior, Data Analyst

- **Company:** Wal-Mart Stores, Inc.
- **Location:** Hoboken, NJ, United States
- **Experience:** Expert
- **Salary:** $96,000.0 - $186,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, R (Programming Language), Python (Programming Language), Power BI, SAS (Software), Scala (Programming Language), SQL Databases, Tableau (Software), Scripting, Apache Spark, Information Technology
- **Published:** October 26, 2026
- **Apply:** https://www.financialjobbank.com/job.asp?id=3467118130&tx=JT989THZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Experienced in quantitative analysis and primary survey research in a client-facing setting.
 * Comfortable with ambiguity; able to make sound decisions and keep work moving with incomplete or evolving inputs.
 * Accountable for outcomes and committed to high-quality, methodologically sound work.
 * Able to design practical, flexible approaches for complex or nonstandard questions.
 * Strong storyteller and presenter: you translate survey data into clear insights for both technical and senior audiences., * Bachelor's degree in Statistics, Economics, Mathematics, Analytics, or a related field.
 * 5-6 years of experience in primary survey-based market research, consulting, or a comparable client-facing environment.
 * Hands-on experience with advanced survey analytics (e.g., statistical testing, regression, segmentation, pricing research, and trade-off methods such as MaxDiff and Conjoint).
 * Experience delivering in a client-facing, revenue-generating analytics/research environment, with accountability for quality and timelines.
 * Proficiency in R, Python, SAS, or similar, and ability to produce client-ready narratives and visualizations.

Nice to Have

 * Experience improving or formalizing analytical or research processes, standards, or ways of working in evolving or scaling teams.
 * Experience supporting analytics productization or reusable research solutions in partnership with product or technology teams, Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau)

## Description

You will own and deliver high-quality analytics for revenue-generating client engagements, specializing in primary survey-based market research. The ideal candidate brings deep survey research expertise, thrives in a fast-paced environment, maintains a high bar for quality, and partners closely with both clients and internal stakeholders.

 * Lead survey analytics engagements: clarify business questions, define the analytical approach, and adapt as inputs change.
 * Design and advise on primary survey research (sampling, questionnaire input, and advanced methods such as segmentation, MaxDiff, 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, including validation and QA aligned to ISO/global processing standards.
 * Act as a trusted analytics consultant and methods expert, communicating complex findings clearly to influence decisions.
 * Partner with product, technology, design, and research teams to support analytics productization and bring the client perspective into solutions.