About the job
At Paired, we connect exceptional talent with remote opportunities at leading companies around the globe. Our commitment is to empower individuals to find fulfilling jobs, regardless of their location.
About Our Clients
We are proud to represent a dynamic and rapidly expanding direct-to-consumer (DTC) e-commerce brand that emphasizes the creation of premium consumer products and aims to scale globally through insightful, data-driven strategies. As this innovative company continues to grow its marketing, retention, operations, and customer experience initiatives, they seek a visionary Head of Data to spearhead their data strategy and establish a cohesive performance framework throughout the organization.
In this pivotal role, you will collaborate closely with executive leadership and department heads to transform data into predictive insights that will inform strategic business decisions.
Key Responsibilities
- Develop and implement a comprehensive company-wide KPI framework that aligns with key financial metrics including revenue, retention, contribution margin, and cash flow.
- Establish and maintain a single source of truth for all reporting systems and data platforms.
- Create predictive models to analyze critical business metrics such as LTV, churn, CAC efficiency, inventory demand, and cash flow forecasting.
- Identify key leading indicators that can signal shifts in performance before they affect revenue.
- Facilitate weekly cross-functional KPI reviews with department heads, focusing on risks, trends, and opportunities.
- Translate complex data insights into actionable recommendations for marketing, operations, finance, and customer experience teams.
- Design and implement measurement frameworks for marketing experiments, pricing strategies, and retention initiatives.
- Ensure statistical rigor in experimentation and provide comprehensive readouts to guide scaling decisions.
- Oversee and optimize the company’s data stack, including BI tools, data warehouse architecture, and integrations.
- Enhance reporting automation and eliminate manual reporting processes by establishing scalable data infrastructure.
Qualifications
- 7+ years of experience in data analytics, data science, or business intelligence, ideally within DTC, e-commerce, or consumer brands.
- Deep understanding of DTC metrics such as CAC, LTV, cohort analysis, retention, contribution margin, and marketing efficiency.
- Proven track record in building predictive models and forecasting frameworks that support strategic decision-making.
- Advanced proficiency in SQL and data analysis tools, with experience in programming languages such as Python or R.
- Familiarity with modern data stacks (e.g., Snowflake, BigQuery, dbt, Looker, Tableau, or equivalent BI platforms).
- Demonstrated ability to collaborate effectively with leadership teams across marketing, finance, operations, and product.