Responsibilities

• Extract, clean, and transform large structured datasets using SQL and Python to support customer acquisition, engagement, and retention analysis
• Design and execute A/B tests — from experiment setup through results readout — applying statistical rigor to measure the impact of pricing, promotion, and marketing initiatives
• Analyze paid media and promotional campaign performance across channels (Meta, Google, email) to evaluate ROI, identify optimization opportunities, and surface actionable recommendations
• Support audience segmentation and targeting logic for paid ads — including building and validating customer lists for activation via platforms like Meta CAPI or Google Ads
• Build and maintain clear Power BI dashboards to track growth KPIs and enable data-driven decision-making across marketing and CRM teams
• Translate analytical findings into concise, actionable insights and communicate them clearly to non-technical stakeholders
• Bring a proactive, curious mindset — ask the next question, not just the one you were assigned

Requirements

• SQL proficiency — comfortable writing multi-table joins, aggregations, subqueries, and window functions independently
• Python for data analysis (pandas, numpy) — clean, reproducible code in Jupyter or similar environments
• Coursework or experience in statistics, economics, math, computer science, engineering, or business analytics
• Attention to data quality — you notice when numbers don't add up and you follow up

Preferred

• Solid understanding of A/B testing methodology: hypothesis formulation, statistical significance, confidence intervals, and business-context interpretation
• Exposure to marketing analytics concepts — funnels, cohort analysis, LTV, promo attribution, or churn modeling
• Familiarity with paid media platforms (Meta Ads, Google Ads) or attribution tools (e.g., AppsFlyer, GA4)
• Experience with Power BI, Tableau, or Looker
• Comfort with version control (Git) and collaborative working environments
• Experience with e-commerce or transactional datasets at scale

Benefits

• Competitive compensation and comprehensive benefits
• PTO, Safe & Sick Time, and Paid Holidays
• Medical, Vision, Dental, and Voluntary Disability coverage
• 401(k) with employer match and Life Insurance
• State-of-the-art Bronx campus with on-site basketball court, cafeteria, and employee market
• Onsite FREE parking
• FREE employee shuttle bus service from nearby Subway station
• Training, leadership development, and tuition discount at local colleges
• 20% employee discount on FreshDirect online orders and Brooklyn wine store
• Minimum 50% employee discount at our onsite employee market
• Mobile phone discounts through partnerships with T-Mobile and Verizon