Senior Data Analyst

About the Role

Key Responsibilities

• Partner with marketing, product, and operations teams to design and execute cross-functional growth and demand generation initiatives.
• Develop and maintain high-quality dashboards using Power BI, enabling teams to monitor KPIs and uncover strategic business opportunities.
• Leverage SQL to extract, transform, and analyze data from relational databases with a strong focus on data accuracy and integrity.
• Deliver clear, data-driven recommendations by combining analytics with effective storytelling using Power BI, Mixpanel, and Excel.
• Analyze large and complex datasets to uncover trends, patterns, and actionable opportunities that drive customer acquisition, engagement, and retention.
• Track and report on key business KPIs related to operational excellence, merchant and customer growth, and marketing performance, including high-level cost-benefit models.
• Contribute to the development of scalable data governance practices to ensure data consistency and quality across the organization.
• Stay up to date with the latest industry trends and best practices in data analytics, visualization, and growth strategies.

Requirements

• Bachelor's degree in a quantitative or analytical field (e.g., Industrial Engineering, Economics, Mathematics, Social Sciences).
• 5+ years of experience in data analytics, with deep proficiency in SQL and working with large-scale datasets.
• At least 2 years of hands-on experience using Power BI, including dashboard development, DAX, and report automation.
• Demonstrated ability to solve complex business problems and deliver data-driven recommendations.
• Strong communication skills, with the ability to translate data into insights and share with stakeholders.
• Experience managing multiple projects simultaneously in a fast-paced and evolving environment.
• Excellent stakeholder management and collaboration skills across cross-functional teams.
• Resilience, adaptability, and a proactive mindset in the face of ambiguity.

Nice to Have

• Experience with machine learning techniques and predictive analytics.
• Familiarity with customer segmentation and marketing analytics.
• Background in forecasting models or time-series analysis.
• Experience in the e-commerce or grocery retail industry.

Qualifications

• Bachelor's degree in a relevant field.

Benefits & Perks

• The expected compensation for this role is $90,000 to $106,000 per year, depending on experience and qualifications. Final compensation will be discussed during the interview process.
• Time Off: PTO, Safe & Sick Time, and Paid Holidays.
• Health Benefits: Medical, vision, dental and voluntary disability benefits.
• Financial Benefits: 401(k) + employer match and life insurance.
• Location: On-site in the Bronx with amenities including gym, cafeteria, employee market, free parking, and shuttle service.
• People Investment: Job training, leadership development programs, and tuition discounts in partnership with local colleges.
• Perks: 20% employee discount on online orders and wine store, substantial markdowns at on-site market, vendor events.