Senior Manager, Advanced Analytics (Retail)

Location: Sunnyvale, California, United States; full-time home office position

Annual salary: $117,000–$234,000 in Sunnyvale, California. Additional compensation may include annual or quarterly performance bonuses and stock.

Company

hirify.global is part of Walmart, a large-scale retail and e-commerce organization focused on customer shopping experiences and data-driven business decisions.

What you will do

• Lead advanced analytics initiatives supporting customer growth, loyalty, retention, and engagement strategies.
• Analyze customer and behavioral data to identify business opportunities and define a prioritized analytics roadmap.
• Develop and maintain customer KPIs, measurement frameworks, and success metrics using large-scale transactional, behavioral, and clickstream datasets.
• Partner with Product, Engineering, Marketing, Strategy, and Finance teams to integrate analytics into product development and business decisions.
• Apply analytical rigor to experimentation, causal inference, customer measurement, and strategic business analyses.
• Present data-driven insights and recommendations to senior leadership while mentoring analysts and promoting analytical best practices.

Requirements

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, Business, Finance, Accounting, or a related field with relevant analytics experience; equivalent experience or advanced degrees may qualify.
• Advanced SQL proficiency, including BigQuery, Hive, Snowflake, or equivalent, and strong Python skills for data analysis, automation, statistical modeling, and scalable analytics solutions.
• Experience developing customer, product, and business performance metrics from large-scale datasets.
• Strong knowledge of experimentation, causal inference, and observational analytical methodologies.
• Demonstrated ability to lead multiple high-impact projects with minimal oversight, communicate complex analysis clearly, and influence stakeholders.

Nice to have

• Experience with GCP, BigQuery, or Snowflake query performance and cost optimization.
• Experience leading code reviews and mentoring junior team members.
• Retail, e-commerce, or omni-channel customer journey analytics experience.
• Business analytics, data mining, or statistical analysis certification; familiarity with SAS or R.

Culture & Benefits

• High-ownership environment with autonomy to solve large-scale business and customer problems.
• Medical, vision, and dental coverage.
• 401(k), stock purchase opportunities, company-paid life insurance, and performance-based compensation.
• Paid time off, sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
• Paid education through Live Better U, including tuition, books, and fees for eligible programs.