(USA) Senior, Data Analyst

Walmart Data Ventures; Hoboken (NJ); Presencial; USD 96 000 - 186 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health benefits

401(k)

Stock purchase plan

PTO

Life insurance

Resumo da oferta

Walmart Data Ventures seeks a Senior Data Analyst to join the Analytics Consulting arm of the Research Services team in Hoboken. You will own and deliver high-quality analytics for revenue-generating client engagements, specializing in primary survey-based market research.

This role requires deep survey expertise, a client-facing mindset, and collaboration with product, technology, design, and research teams to productize analytics and translate findings for senior audiences.

Qualificações

• Bachelor’s degree in Statistics, Economics, Mathematics, Analytics, or 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, MaxDiff, Conjoint).

Responsabilidades

• Lead survey analytics engagements: clarify business questions, define analytical approach, adapt as inputs change.
• Design and advise on primary survey research (sampling, questionnaire input, segmentation, MaxDiff, 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.

Conhecimentos

Quantitative analysis

Primary survey research

Client-facing

Storytelling/presentation

Communication

Formação académica

Bachelor’s degree in Statistics/Economics/Math/Analytics

Master’s degree in Business/Engineering/Analytics

4 years in data analysis/data science/analytics

Ferramentas

R

Python

SAS

SQL

Power BI

Tableau

Descrição da oferta de emprego

Position Summary...

What you'll do... Data Ventures exists to unlock the full value of Walmart’s data by developing and productizing B2B data initiatives that empower merchants and clients to make better, faster business decisions.

We are seeking a Senior Data Analyst to join the Analytics Consulting arm of our Research Services team. This individual contributor role sits in a client-facing analytics function that supports multiple business units.

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.

Who You Are

• 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.

Minimum Qualifications

• 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

At Walmart, we offer competitive pay as well as performance‑based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company‑paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short‑term and long‑term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

For Information About Benefits And Eligibility, See One.Walmart.

The annual salary range for this position is $96,000.00 - $186,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :

• Stock

Minimum Qualifications

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)

Primary Location

221 River St, Hoboken, NJ 07030, United States of America

Walmart and its subsidiaries are committed to maintaining a drug‑free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.