Senior Manager, Advanced Analytics - eCommerce Decision Science

About the Role

Key Responsibilities

• Drive Analytics for CVP Strategy: Develop robust analytical frameworks to optimize assortment, pricing, and customer experience. Identify and measure value across key customer journeys.
• Build AI Agents for Workflow Automation: Create and deploy intelligent agents that automate routine analytics tasks such as data validation, report generation, KPI tracking, and anomaly detection.
• Lead by Doing: Operate as a senior individual contributor with end-to-end ownership—defining problem statements, sourcing data, building solutions, and communicating insights.
• Leverage Clickstream and Transaction Data: Analyze customer behavior to identify friction points and opportunities across platforms. Inform roadmaps for Product, Merchandising, and Marketing.
• Design KPIs and Self-Serve Tools: Define metrics and develop dashboards that allow business teams to monitor CVP health and performance with minimal analytical friction.
• Advanced Experimentation: Lead A/B testing and causal inference efforts to assess the impact of new features and strategic changes.
• Hands-on Data Work: Query, clean, and model large-scale data sets using SQL, Python, and cloud platforms like BigQuery, Hive.
• Data Storytelling: Communicate insights clearly to technical and non-technical stakeholders. Translate analytical results into compelling recommendations that drive action.
• Explore and Innovate: Stay on top of the latest developments in generative AI, ML ops, and automation tools. Evaluate and adopt emerging technologies to future-proof analytical operations.

Requirements

• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Engineering).
• Expertise in SQL and large-scale data platforms (e.g., Google BigQuery, Hive).
• Strong hands-on experience with data science programming (Python).
• Demonstrated ability to automate analytics workflows using AI, scripting, or orchestration tools.
• Proven success in driving product or business decisions with analytics.
• Excellent written and verbal communication skills.

Nice to Have

• Master's degree in a quantitative discipline or MBA with analytics experience.
• 7+ years of experience in analytics or data science roles.
• Background in eCommerce, Retail, or Pricing & Assortment Analytics.
• Experience building and deploying intelligent agents or automation tools (e.g., LangChain, AutoGPT, or custom scripts).
• Familiarity with machine learning concepts, model deployment, and data pipelines.
• Proficiency with BI tools like Tableau, Looker, or Power BI.

Qualifications

• Bachelor's degree in Business, Finance, Accounting, Statistics, or related field and 4 years' experience in data analytics or related field, or 6 years' experience in data analytics or related field.
• Certificate in business analytics, data mining, or statistical analysis (optional).
• Knowledge of statistical programming languages (e.g., SAS, R) (optional).
• Masters in Business Administration, Information Systems, or Statistics (optional).

Benefits & Perks

• Competitive pay with performance-based bonus awards.
• Health benefits including medical, vision, and dental coverage.
• Financial benefits such as 401(k), stock purchase, and company-paid life insurance.
• Paid time off including PTO, sick leave, parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits like short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.
• PTO and PPTO for vacation, sick leave, holidays, or other purposes.
• Live Better U education benefit program covering tuition, books, and fees.