Senior Data Analyst

Ruby Labs

15d•Remote

About The Position

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.

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

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.