Summary

Our client is an ecommerce brand focused on delivering high-quality live plants, subscription plans, and plant-related gifts. The company emphasizes excellent customer experience, sustainable sourcing, and convenient online shopping while providing resources to help customers care for their purchases.

About the Role

We are looking for a Data Analyst to join our client’s growing analytics practice. This role will partner with marketing, merchandising, operations, and customer success to turn ecommerce, subscription, and customer-behavior data into actionable insights and predictive models that increase revenue, reduce churn, optimize inventory, and improve the customer experience.

What you’ll do:

• Build and maintain pipelines that consolidate orders, subscriptions, web analytics, CRM, inventory, and financial data for analysis.
• Prepare regular financial reports and variance analyses (P&L, revenue by channel, gross margin, CAC vs LTV) and support month-end close activities.
• Define, build, and maintain dashboards to track conversion, LTV, repeat purchase, subscription churn, AOV, inventory health, and key financial metrics.
• Translate analytical and model outputs into prioritized, measurable business and financial actions; partner with teams to implement pricing, promotions, replenishment, and retention tactics.
• Ensure reproducibility and documentation of analyses; implement monitoring and alerts for production models and pipelines; maintain integrity between operational and financial systems.

Your background and skills will include:

• Familiarity with QuickBooks or similar accounting systems; experience producing financial reports and supporting month-end close.
• • Practical experience with Shopify (or other ecommerce platforms) and Google Analytics / GA4 for web and channel measurement.
• • Hands-on experience building and deploying models for churn, LTV, segmentation, or forecasting; strong A/B testing design and analysis skills.
• Experience with dashboarding tools (Looker, Tableau, Power BI) and defining business/financial KPIs.
• Strong communicator who converts technical and financial analysis into concise, actionable business recommendations and collaborates effectively across teams.
• Prior experience with subscription metrics, inventory and supply‑chain finance, or automated model monitoring in production is an advantage.