Senior Data Analyst (Retail Analytics)

Location: Sam's Home Office AR Bentonville Home Office, Bentonville, Arkansas, United States

Salary: $80,000–$155,000 annually, plus performance-based bonuses and possible Regional Pay Zone compensation.

Company

hirify.global supports merchandising analytics for assortment, pricing, promotions, product performance, and member engagement.

What you will do

• Partner with merchants to deliver insights across assortment, pricing, promotions, and product performance.
• Apply statistical modeling, predictive analytics, experimentation, and causal inference to evaluate initiatives and measure incremental impact.
• Analyze member shopping behavior, category preferences, brand loyalty, and engagement to identify growth opportunities.
• Develop scalable analytical solutions using SQL, Python, and advanced data visualization tools.
• Build dashboards and executive-ready reports to communicate insights and influence decisions.
• Ensure data quality and analytical rigor while collaborating with cross-functional stakeholders to solve business challenges.

Requirements

• Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance, or a related field and 2 years of experience in data analysis, data science, statistics, or a related field.
• Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, or Information Technology.
• Option 3: 4 years of experience in data analysis, data science, statistics, or a related field.
• Strong proficiency in SQL, Python, statistical analysis, and data visualization tools such as Power BI and Looker.
• Experience with regression, hypothesis testing, predictive modeling, and machine learning.
• Understanding of experimentation, causal inference, and incremental business impact measurement.
• Ability to analyze large, complex datasets and translate findings into actionable merchandising insights.
• Strong business acumen, problem-solving, critical thinking, data storytelling, and stakeholder-influence skills.
• Ability to independently manage analytical projects and maintain data quality, analytical rigor, and continuous improvement.

Nice to have

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

Culture & Benefits

• Full-time employment with medical, vision, and dental coverage.
• Financial benefits include 401(k), stock purchase, and company-paid life insurance.
• Paid time off includes PTO, parental leave, family care leave, bereavement, jury duty, and voting leave; PTO and/or PPTO may cover vacation, sick leave, and holidays.
• Additional benefits include disability coverage, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and education support through Live Better U.
• Annual or quarterly performance bonuses may apply; benefits are subject to eligibility, job classification, length of employment, and plan terms.