Ruby Labs is looking for a Lead Data Analyst to own, lead, and evolve our analytics function. You will define how success is measured and drive decision-making with clarity and accountability across product, marketing, and business performance.

What You'll Do

Own the entire analytics vision and execution across product, marketing, and revenue.
Lead, mentor, and challenge Data Analysts, raising the bar on analytical thinking and ownership.
Define, standardize, and strictly enforce product and business KPIs across the organization.
Build, maintain, and evolve executive-level dashboards used for real decision-making.
Perform deep user behavior analysis, funnel analysis, retention analysis, and aha moment discovery.
Translate complex data into clear, decisive recommendations for Product, Growth, and Leadership.
Establish a culture of metric accountability—every feature, experiment, and campaign must be measurable.
Design and own robust SQL-based data models that scale with the business.
Proactively monitor metrics, detect anomalies, and act before issues become visible elsewhere.
Partner closely with Product Owners, Engineering, Marketing, and Leadership to align data with strategy.
Act as the single point of ownership for product and business metrics.
Push the team forward with discipline, clarity, and high standards, demanding precision and consistency.

What We're Looking For

Degree in an analytical field such as Math, Data Science, Economics, or similar.
5+ years of experience in Data Analytics, including leading or mentoring analysts.
Strong background in Product Analytics and data-driven decision-making.
Advanced SQL skills with proven experience building scalable, reliable data models.
Hands-on experience with Mixpanel, GA4, Amplitude, or similar tools.
Experience with BI tools such as Tableau, Looker, or equivalent.
Exceptional analytical and problem-solving skills with ability to see both details and the big picture.
Excellent verbal and written communication skills, able to challenge stakeholders with confidence.
Ability to operate in a fast-paced, high-pressure environment with a full ownership mindset.
Experience in subscription-based or data-driven businesses.

Nice to Have

Background in sports, competitive environments, or high-performance teams.
Experience in Marketing Analytics (Google Ads, Facebook Ads, attribution).
Experience with Python or R for advanced analysis.
Experience with GCP, BigQuery, ClickHouse.
Familiarity with dbt, Airflow, or modern data stacks.
Experience with Git and code review processes.

Technical Stack

Languages & Querying: SQL, Python, R
Analytics & BI: Mixpanel, GA4, Amplitude, Tableau, Looker
Platforms & Infrastructure: GCP, BigQuery, ClickHouse, dbt, Airflow, Git

Team & Environment

You will lead and mentor Data Analysts while partnering closely with Product Owners, Engineering, Marketing, and Leadership.

Benefits & Compensation

Remote Work Environment.
Unlimited PTO.
Paid National Holidays.
Company-provided MacBook.
Flexible Independent Contractor Agreement with tax advantages, networking opportunities, reduced employment obligations, and location freedom.