Paired is hiring a Lead / Senior Data Analytics Manager to step into a role with the strategic ownership and scope of a Head of Data for our growing DTC e-commerce brand. You will be the driving force behind data-informed decision-making across marketing, product, retention, finance, supply chain, and customer experience, establishing robust data foundations, defining company-wide metrics, and turning data into predictive, actionable insights.

What You'll Do

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, establishing a single source of truth.
Align marketing, retention, operations, CX, and finance around shared metrics and ensure every department understands how their actions impact company-level outcomes.
Develop predictive models for LTV, churn, CAC efficiency, inventory needs, and cash flow, identifying leading indicators that signal performance shifts.
Translate forecasts into actionable insights and build early-warning systems for issues such as retention decline or margin compression.
Lead weekly cross-functional KPI review meetings, working with department heads to track progress, surface risks, and ensure follow-through on action items.
Design measurement frameworks for marketing tests, pricing experiments, and retention strategies, ensuring evaluations are statistically rigorous.
Own and improve the company’s data stack, including BI tools, data warehouse, and integrations, improving automation and reducing manual processes.
Partner with operations and engineering teams to integrate real-time insights into workflows.

What We're Looking For

Proven experience in data analytics, data science, or business intelligence.
Strong understanding of core 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, plus experience using programming languages like 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.

Nice to Have

Experience preferably within DTC, e-commerce, or consumer brands.
Experience in a high-growth startup or DTC environment is highly preferred.

Technical Stack

Languages: SQL, Python, R
Platforms & Tools: Snowflake, BigQuery, dbt, Looker, Tableau

Team & Environment

You will work cross-functionally with leadership teams across marketing, finance, operations, and product, reporting directly to executive leadership.

Benefits & Compensation

Salary range: $100,000 and $130,000 per year.
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.