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Lead/Senior Data Analytics Manager

EcommerceEcommerceOtherRemoteSeniorTeam 1-10H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

98 days ago

Salary

$100K - $130K / year

Seniority

Senior

Bachelor DegreeEnglishBigQueryPythonSQLTableau

Job Description

Lead/Senior Data Analytics Manager

Paired

• 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. • 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. • 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. • 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. • 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.

Job Requirements

  • 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

  • Remote flexibility – Work remotely while collaborating with a globally distributed team.
  • Earn between $100,000 and $130,000 per year, depending on experience and expertise.
  • 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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