Senior Data Analyst — Remote, Subscription & Funnel Analytics

Ruby Labs Ltd; España; Remote; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Remote work

Unlimited PTO

MacBook provided

Independent contractor-style flex

Job summary

Ruby Labs Ltd. is seeking a Senior Data Analyst to drive analytics for subscription products and web funnels in a fast-paced environment. You will partner with Product, Marketing, and Data teams to improve conversion, retention, and LTV with trusted tracking and strong data models.

You will own analysis from problem framing to recommendations and mentor analysts while collaborating with Data Engineering/BI to maintain reliable data foundations.

Qualifications

• 3+ years of experience as a Data Analyst with end-to-end ownership.
• Strong analytical and problem-solving skills with pattern detection.

Responsibilities

• Define KPIs, success metrics, and decision criteria with cross-functional teams.
• Create dashboards and reporting for Product and Marketing with trustable data.
• Deliver full-funnel analysis and identify bottlenecks, proposing improvements or A/B ideas.
• Analyze payment and subscription metrics across checkout, renewals, refunds, and chargebacks.
• Lead user behavior analysis using event data and maintain data quality with SLAs.
• Mentor junior analysts in SQL, funnel analysis, and experimentation quality.
• Maintain event taxonomy and tracking structure, validating implementation.
• Build robust, reusable SQL data models with clean definitions and performance focus.

Skills

SQL expertise

Product analytics

Funnel analysis

A/B testing

Event analytics

Data modeling

Data visualization

Communication

Mentoring

English fluency

Education

Degree in Mathematics / Data Science / Economics or equivalent

Tools

Mixpanel

GA4

Amplitude

Tableau

Looker

BigQuery

dbt

Airflow

Job description

Ruby Labs Ltd. is seeking a Senior Data Analyst to drive analytics for subscription products and web funnels in a fast-paced environment. You will partner with Product, Marketing, and Data teams to improve conversion, retention, and LTV with trusted tracking and strong data models.

You will own analysis from problem framing to recommendations and mentor analysts while collaborating with Data Engineering/BI to maintain reliable data foundations.