Lead Data Analyst — Growth & Insights Leader

Ruby Labs Ltd

España

Remote

EUR 70,000 - 100,000

Full time

10 hours ago

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Benefits offered by this job

Remote Work Environment

Unlimited PTO

Paid National Holidays

Company-provided MacBook

Flexible Independent Contractor

Job summary

Ruby Labs Ltd. is seeking an experienced Lead Data Analyst to join our fast-paced, high-ownership team.

You will drive analytics across subscription products and web funnels, partnering with Product, Marketing (UAM), and Data teams to improve conversion, retention, and LTV while ensuring trusted tracking and reliable data models. This hands-on role requires mentoring analysts, owning analysis from framing to recommendations, and collaborating with Data Engineering/BI to keep data foundations

Qualifications

Degree in an analytical field (e.g., Mathematics, Data Science, Economics) or equivalent practical experience.
3+ years of experience as a Data Analyst with end-to-end ownership.
Experience in subscription business and/or acquisition-driven web funnels.
Strong experience in Product Analytics: funnels, cohorts, retention, LTV, churn, segmentation.
Proven hands-on experience designing, running, and validating end-to-end A/B tests
Hands-on experience with event analytics tools: Mixpanel, GA4, Amplitude, or similar
Advanced SQL
Experience with BI tools such as Tableau, Looker, or similar.
Strong analytical and problem-solving skills; ability to identify trends, patterns, and root causes in large datasets.
Excellent verbal and written communication; ability to translate analysis into clear business actions.
Ability to adapt quickly, learn new tools efficiently, and deliver high-quality work in a high-pressure, fast-changing environment.
Strong spoken and written English.

Responsibilities

Partner with Product, Marketing, and Data Teams to define KPIs and decision criteria.
Create dashboards, maintain reporting (Product Reports, Marketing Performance Reports) with clarity and trust.
Deliver full-funnel analysis, identify bottlenecks, propose improvements or A/B ideas.
Lead user behavior analysis (journeys, drop-offs, activation moments) using event data.
Monitor key metrics and anomalies; communicate updates with defined SLAs.
Own and maintain event taxonomy and tracking structure; validate implementation and business logic.
Design and build robust, reusable SQL data models with clean layers.
Mentor Junior/Middle Data Analysts in SQL, funnel/cohort analysis, experimentation quality.
Provide direct feedback with Leadership Team; maintain high quality in a demanding environment.