Lead Data Analyst - Subscription & Funnel Analytics (Remote)

Ruby Labs Ltd; Meolo; À distance; EUR 90 000 - 140 000; Plein temps

Avantages offerts par ce poste

Remote Work Environment

Unlimited PTO

Paid National Holidays

Company-provided MacBook

Flexible Independent Contractor, with税

Résumé du poste

Ruby Labs Ltd is seeking a Lead Data Analyst to drive analytics for subscription products and web funnels. You will own problem framing, deliver actionable insights, and mentor analysts while partnering with Product, Marketing, and Data teams to improve conversion, retention, and LTV.

You will ensure trusted tracking, robust data models, and decision-ready reporting in a fast-paced environment, collaborating with Data Engineering/BI to maintain data foundations.

Qualifications

• Degree in an analytical field or equivalent practical experience.
• 3+ years as a Data Analyst with end-to-end ownership.
• Experience in subscription business and web funnels.

Responsabilités

• Define KPIs and decision criteria with cross-functional teams.
• Create dashboards and improve reporting for product and marketing.
• Deliver full-funnel analysis and propose improvements or A/B test ideas.
• Lead user behavior analysis using event data.
• Maintain event taxonomy and tracking structure; validate data logic.
• Mentor junior analysts in SQL, funnel analysis, and experimentation.

Connaissances

Data analysis

SQL

AB testing

Product analytics

Event tracking

Communication

English

Formation

Degree in analytic field

Outils

GA4

Mixpanel

Amplitude

Tableau

Looker

Description du poste

Ruby Labs Ltd is seeking a Lead Data Analyst to drive analytics for subscription products and web funnels. You will own problem framing, deliver actionable insights, and mentor analysts while partnering with Product, Marketing, and Data teams to improve conversion, retention, and LTV.

You will ensure trusted tracking, robust data models, and decision-ready reporting in a fast-paced environment, collaborating with Data Engineering/BI to maintain data foundations.