Responsibilities

• Marketing & Business Analytics
• - Analyze customer acquisition performance across paid search, display, affiliate, and organic channels — spend efficiency, conversion rates, cost per acquisition, and cost per subscriber — and recommend optimizations to the performance marketing team.
• - Build and maintain reporting on subscription funnel economics: trial starts, trial-to-paid conversion, rebill/retention, churn, and customer lifetime value by channel and campaign.
• - Analyze A/B and pricing test results to guide decisions on page content, UX, offers, and pricing.
• - Investigate anomalies in traffic, conversion, and revenue data; distinguish real business changes from tracking or attribution artifacts before findings reach stakeholders.
• Reporting & BI Development
• - Retrieve and aggregate data from multiple sources (web analytics, ad platforms, billing/subscription systems, internal databases) into clear, actionable reporting for stakeholders at all levels.
• - Design, build, and maintain automated dashboards and reporting solutions in our BI platform (Domo), migrating existing manual and legacy reporting into governed, automated pipelines.
• - Automate and optimize existing manual data workflows, reducing time-to-insight and error risk.
• - Partner with leadership to define key metrics, KPIs, and dashboards that measure business performance; maintain clear metric definitions and a single source of truth.

Requirements

• 3+ years of experience in business intelligence, marketing analytics, or a comparable analytical role.
• Strong SQL skills, with experience querying and aggregating large datasets from multiple sources; experience with cloud data warehouses (Snowflake preferred).
• Hands-on experience building dashboards and automated reporting in a modern BI platform; Domo experience is required (Power BI, Tableau, or Looker also relevant).
• Direct experience supporting a performance marketing or growth team (paid search, display, affiliates).
• Experience with subscription or trial-based D2C business models and their economics (LTV, ROAS, churn, cohort analysis).
• Advanced Excel skills, including complex functions, pivot tables, and linked, multi-source workbooks.
• Demonstrated ability to ramp quickly on a new business, industry, and unfamiliar datasets — investigating, mastering, and documenting them with minimal guidance.
• Ability to operate at both altitudes: shape analytics priorities with leadership, then personally deliver the work end to end.
• Strong communication skills — able to present complex quantitative findings in a simple, intuitive format to executive audiences.
• Self-starter with high standards for quality, performance, and accuracy.

Preferred

• Familiarity with Google Analytics (GA4), UTM-based attribution, and combining web analytics with internal data.
• Experience working with billing/subscription platform data (e.g., Recurly, Chargebee, Stripe).
• Experience analyzing A/B tests with tools such as VWO, Optimizely, or similar.
• Experience collaborating with external media agencies or BI contractors.

Benefits

• 401(k)
• 401(k) matching
• Medical/Dental/Vision/Life Insurance