About us
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
About the role
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.
- Analyze payment and subscription performance across checkout, trial-to-paid conversion, renewals, failed payments, refunds, and chargebacks; identify revenue leakage and recommend improvements.
- Partner with Product, Engineering, and Finance to investigate payment issues and ensure payment metrics and revenue reporting are accurate and consistent.
- 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.
Life at Ruby Labs
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
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. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1mniCZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt
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
- Hands-on experience analyzing payment and subscription data, including checkout conversion, payment approval rates, renewals, failed payments, refunds, and chargebacks.
- Ability to adapt quickly, learn new tools and methods efficiently, and work effectively in a high-pressure, fast-changing environment
- Strong spoken and written English
Nice To Haves
- 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
