Location

Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.

Ruby Labs is hiring an experienced Senior Data Analyst to join our fast-paced, high-ownership environment. 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, strong data models, and decision-ready reporting.

This role is hands-on and cross-functional: you will own analysis from problem framing to recommendation, and you’ll mentor analysts while collaborating closely with Data Engineering/BI to keep data foundations reliable.

Responsibilities

• Partner with Product, Marketing, and Data Teams to define KPIs, success metrics, and decision criteria.

• Create new dashboards, maintain and improve existing reporting (e.g., Product Reports, Marketing Performance Reports), ensuring clarity and trust.

• Deliver full-funnel analysis, identify bottlenecks, and propose improvements or A/B test ideas.

• Lead user behavior analysis (journeys, drop-offs, activation/aha moments) using event data.

• Monitor key metrics and anomalies; escalate issues and communicate updates to stakeholders with defined SLAs

• Own and maintain event taxonomy and tracking structure (events, properties, naming conventions); validate implementation and business logic alignment.

• Design and build robust, reusable SQL data models (clean layers, consistent definitions, performance-minded queries).

• Mentor Junior/Middle Analysts in SQL, validation, funnel/cohort analysis, and experimentation quality; provide regular feedback and guidance.

• Give and receive direct, actionable feedback with peers and the Leadership Team; maintain a high bar for quality in a demanding environment.

Requirements

• Degree in an analytical field (e.g., Mathematics, Data Science, Economics) or equivalent practical experience.

• 3+ years of experience as a Data Analyst, with proven ownership of end-to-end analysis and stakeholder delivery.

• 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 think strategically and make data-driven recommendations aligned with company goals.

• Strong experience in Product Analytics: funnels, cohorts, retention, LTV, churn, segmentation.

• Hands-on experience with event analytics tools: Mixpanel, GA4, Amplitude, or similar

• Advanced SQL

• Experience with popular BI tools such as Tableau, Looker, or similar

• Experience in subscription business

• Ability to adapt quickly, learn new tools and methods efficiently, and work effectively in a high-pressure, fast-changing environment

Nice To Haves

• Strong spoken and written English

• Experience in Marketing Analytics

• Experience with Python, R

• Experience with GCP, BigQuery

• Experience with Google Ads, Facebook Ads etc

• Experience with orchestration frameworks such as Airflow, dbt

• Experience with git and code review process

Benefits

Discover the perks of being part of our vibrant team! We offer:

• Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.

• Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.

• Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.

• Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.

• Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere.

Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!

Interview Process

After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:

• Recruiter Screening (40 minutes)

• Technical Interview (90 minutes)

• Final Interview (60 minutes)