Lead Product Data Analyst

Ruby Labs

1d • Remote

About The Position

RubyLabs is hiring an experienced Lead Product 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 BI tools such as Tableau, Looker, or similar.
• Experience in subscription business and/or acquisition-driven web funnels.
• 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.

Nice To Haves

• Experience in Marketing Analytics
• Experience with Python and/or R
• Experience with GCP and BigQuery.
• Experience with Google Ads, Meta/Facebook Ads, or other ad platforms.
• Experience with orchestration frameworks such as Airflow and/or dbt.
• Experience with Git and code review processes.
• Experience with billing/payments analytics.

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 Data 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.

Benefits

• 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.

What This Job Offers

• Career Level: Mid Level