• Design and implement scalable enterprise data platforms supporting analytical and financial reporting requirements. • Translate business and finance reporting needs into robust dimensional data models and semantic layers. • Define, document, and govern business metrics such as EBITDA, Gross Margin, and financial variance calculations to ensure consistency across analytics solutions. • Work closely with Back-End and product engineering teams to ensure efficient data pipelines, optimized query performance, and reliable analytics at scale. • Design and maintain data warehouse schemas, focusing on performance, scalability, and long-term maintainability. • Contribute to the architecture and technical direction of the organization’s analytics and data modelling strategy. • Participate in design workshops with finance and business stakeholders to align semantic data models with reporting requirements. • Support product and development teams through MVP and production phases, ensuring data architecture evolves with the platform. • Optimize SQL queries, data models, and analytical workloads to support high-performance real-time reporting and analytics. • Operate effectively within an agile engineering squad, contributing to planning, design discussions, retrospectives, and continuous improvement initiatives. • Mentor engineers and collaborate on data architecture decisions across complex multi-entity or multi-tenant platforms.

• Partner closely with clinical, operations, product, and engineering teams to identify key business problems and develop analytics solutions that drive growth and innovation. • Develop dashboards, reporting, and self-service tools that enable teams to monitor performance and make data-informed decisions. • Communicate insights and recommendations clearly to both technical and non-technical stakeholders and guide understanding of clinical quality and provider product needs. • Collaborate with peers to design and maintain data models within Octave’s data warehouse to ensure reliable, scalable datasets that support analytics across the organization.

Paired is a global recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located. About Our Clients This role is designed for a senior analytics leader who is ready to step into broader strategic ownership and operate at a Head of Data level. Our client is a growing direct-to-consumer e-commerce brand focused on delivering high-quality products and exceptional customer experiences. As the business continues to scale, the team is looking for a Head of Data to help drive data-informed decision making across marketing, product, retention, finance, supply chain, and customer experience. This role goes beyond building dashboards or running reports. You will help establish the data foundations that guide company strategy; creating a single source of truth, defining the metrics that matter, and turning data into predictive insights that allow teams to operate proactively rather than reactively. This is a high-impact role for someone who wants to grow into a true data leadership position while remaining hands-on with analytics. Responsibilities - KPI Architecture & Metric Unification Design and implement the company’s KPI framework to ensure all teams operate from a shared understanding of performance. - Define company-wide KPIs aligned to revenue, retention, contribution margin, and cash flow - Establish a single source of truth across reporting systems - Align marketing, retention, operations, CX, and finance around shared metrics - Ensure every department understands how their actions impact company-level outcomes - Predictive & Leading Indicator Modeling Move the organization from reactive reporting to forward-looking decision-making. - Develop predictive models for LTV, churn, CAC efficiency, inventory needs, and cash flow - Identify leading indicators that signal performance shifts before they impact revenue - Translate forecasts into actionable insights for department leaders - Build early-warning systems for issues such as retention decline, rising refund rates, stockouts, and margin compression - Weekly Performance Leadership You will play a central role in how leadership reviews and interprets business performance. - Lead weekly cross-functional KPI review meetings - Work with department heads to track progress against performance targets - Surface risks, trends, and opportunities through clear analytics - Ensure action items from performance reviews are clearly defined and followed through - Experimentation & Optimization Help the company improve decision-making through structured experimentation. - Design measurement frameworks for marketing tests, pricing experiments, retention strategies, and offer changes - Ensure experiments are evaluated with statistical rigor - Provide clear readouts that guide scaling decisions - Data Infrastructure & Reporting Support the development of a scalable and reliable analytics environment. - Own and improve the company’s data stack (BI tools, data warehouse, integrations) - Improve reporting automation and data accuracy - Reduce manual reporting processes - Partner with operations and engineering teams to integrate real-time insights into workflows What “Great” Looks Like in This Role Success in this role means building a data environment where insights drive action. Over time, you will enable the organization to operate with greater clarity and accountability, including: - Every department clearly understands and tracks their 3–5 most important KPIs - Leadership meetings are driven by data rather than opinion - Forecast accuracy improves over time - Risks related to churn, CAC efficiency, and inventory planning are identified early - The company operates proactively instead of reactively This position is ideal for someone who wants to grow from a senior analytics role into a broader data leadership position, working directly with executives while still remaining deeply connected to the analytics work that drives real business outcomes.

• Use data to uncover insights, define meaningful performance metrics, and communicate a clear point of view on customer behavior and marketing effectiveness • Build and maintain dashboards and measurement plans that tell a compelling story around business and campaign performance • Clean, transform, and curate data to ensure accuracy, consistency, and reliability across reporting workflows • Conduct quality assurance on reporting outputs and apply foundational knowledge of campaign architecture across platforms such as Facebook, Google, TRADR, and Amazon to support accurate data mapping • Partner closely with Ad Operations and Account Management teams to support optimization initiatives and performance strategy • Contribute to analysis and support client-facing communication of key findings and performance recommendations • Take on additional projects and cross-functional initiatives that support team and organizational growth