Requirements
Monitor key eCommerce performance metrics, including traffic, conversion rate, bounce rate, cart abandonment, etc.
Conduct subscription lifecycle and churn analysis, identifying opportunities to improve retention and reduce churn.
Develop predictive models for customer retention and LTV forecasting to inform business decisions.
Work closely with the eCommerce team to provide insights to improve UX, checkout flows, and product merchandising, etc.
Data Visualization & Reporting
Develop and maintain Looker dashboards to track marketing and eCommerce KPIs.
Ensure data integrity and accuracy across platforms (i.e. Shopify, Recharge, Google Analytics, and paid media networks).
Partner with Marketing, eCommerce, and product teams to align analytics with business goals.
Automate reporting and standardize KPI definitions to improve data accessibility.
Qualifications & Skills
2-4 years of experience in marketing analytics, eCommerce analytics, or business intelligence.
Strong analytical and problem-solving skills, with experience in data visualization.
Experience with Looker (LookML experience is a plus).
Strong proficiency in SQL (ability to write complex queries and optimize performance).
Experience with Google Analytics, digital marketing platforms (Google Ads, Meta), and performance tracking tools.
Strong understanding of customer journey analysis, funnel metrics, and marketing attribution modeling.
Ability to translate complex data into clear, actionable insights for stakeholders.
Familiarity with A/B testing, experimentation methodologies, and conversion rate optimization.
Experience with Shopify, Recharge, or other eCommerce platforms is a plus.
Knowledge and experience using a CDP is a plus.
Python or R for advanced analytics and automation is a plus.
Experience with NetSuite, ERP, or financial analytics is a plus.
BENEFITS