Head of Data – DTC E-commerce
Job Description:
• Define and implement the company-wide KPI framework aligned with revenue, retention, contribution margin, and cash flow.
• Establish and maintain a single source of truth across all reporting systems and data platforms.
• Build predictive models for key business metrics such as LTV, churn, CAC efficiency, inventory demand, and cash flow forecasting.
• Identify leading indicators that signal performance shifts before they impact revenue.
• Lead weekly cross-functional KPI reviews with department heads, highlighting risks, trends, and opportunities.
• Translate complex data insights into clear, actionable recommendations for marketing, operations, finance, and customer experience teams.
• Design and implement measurement frameworks for marketing experiments, pricing tests, and retention initiatives.
• Ensure statistical rigor in experimentation and provide clear readouts to guide scaling decisions.
• Own and optimize the company’s data stack, including BI tools, data warehouse architecture, and integrations.
• Improve reporting automation and eliminate manual reporting processes by implementing scalable data infrastructure.
Requirements:
• 7+ years of experience in data analytics, data science, or business intelligence, preferably within DTC, e-commerce, or consumer brands.
• Strong understanding of DTC metrics such as CAC, LTV, cohort analysis, retention, contribution margin, and marketing efficiency.
• Proven experience building predictive models and forecasting frameworks that inform strategic decision-making.
• Advanced proficiency in SQL and data analysis tools, with experience using programming languages such as Python or R.
• Experience working with modern data stacks (e.g., Snowflake, BigQuery, dbt, Looker, Tableau, or similar BI platforms).
• Demonstrated ability to work cross-functionally with leadership teams across marketing, finance, operations, and product.
• Strong communication skills with the ability to translate complex data insights into clear business recommendations.
• Experience leading KPI reviews or performance reporting processes across multiple departments.
• Experience in a high-growth startup or DTC environment is highly preferred.
Benefits:
• Competitive USD salary – Earn between $150,000 and $200,000 per year, depending on experience and expertise.
• Remote flexibility – Work remotely while collaborating with a globally distributed team.
• Strategic leadership role – Direct exposure to executive leadership and key decision-making processes.
• Opportunity to build and scale the company’s data strategy and infrastructure from the ground up.
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• Define and implement the company-wide KPI framework aligned with revenue, retention, contribution margin, and cash flow.
• Establish and maintain a single source of truth across all reporting systems and data platforms.
• Build predictive models for key business metrics such as LTV, churn, CAC efficiency, inventory demand, and cash flow forecasting.
• Identify leading indicators that signal performance shifts before they impact revenue.
• Lead weekly cross-functional KPI reviews with department heads, highlighting risks, trends, and opportunities.
• Translate complex data insights into clear, actionable recommendations for marketing, operations, finance, and customer experience teams.
• Design and implement measurement frameworks for marketing experiments, pricing tests, and retention initiatives.
• Ensure statistical rigor in experimentation and provide clear readouts to guide scaling decisions.
• Own and optimize the company’s data stack, including BI tools, data warehouse architecture, and integrations.
• Improve reporting automation and eliminate manual reporting processes by implementing scalable data infrastructure.
Requirements:
• 7+ years of experience in data analytics, data science, or business intelligence, preferably within DTC, e-commerce, or consumer brands.
• Strong understanding of DTC metrics such as CAC, LTV, cohort analysis, retention, contribution margin, and marketing efficiency.
• Proven experience building predictive models and forecasting frameworks that inform strategic decision-making.
• Advanced proficiency in SQL and data analysis tools, with experience using programming languages such as Python or R.
• Experience working with modern data stacks (e.g., Snowflake, BigQuery, dbt, Looker, Tableau, or similar BI platforms).
• Demonstrated ability to work cross-functionally with leadership teams across marketing, finance, operations, and product.
• Strong communication skills with the ability to translate complex data insights into clear business recommendations.
• Experience leading KPI reviews or performance reporting processes across multiple departments.
• Experience in a high-growth startup or DTC environment is highly preferred.
Benefits:
• Competitive USD salary – Earn between $150,000 and $200,000 per year, depending on experience and expertise.
• Remote flexibility – Work remotely while collaborating with a globally distributed team.
• Strategic leadership role – Direct exposure to executive leadership and key decision-making processes.
• Opportunity to build and scale the company’s data strategy and infrastructure from the ground up.
Apply tot his job
Apply To this Job