We are looking for a detail-oriented Data Analyst to manage data insights and analytics workflows in one of Ruby Labs’ fastest-growing legal-tech portfolio companies. This is a hands-on operational role where you will own data analysis, reporting, and metrics tracking, ensuring data-driven decision making through disciplined processes and AI-enhanced productivity.
Core Mission Maintain complete control over data analysis and reporting operations — from data modeling to insight delivery — with systematic discipline, clear communication, and AI-driven efficiency.
Key Responsibilities * Analytics Backlog Management — Maintain a prioritized backlog of analysis requests, reports, and data improvements with detailed specifications * Report Documentation — Create comprehensive analysis documentation, insights summaries, and actionable recommendations * Management Sync — Regular alignment meetings with Product Owners and leadership to ensure data direction and priority alignment * Cross-Team Coordination — Coordinate with Product, Dev, and Data teams to ensure clear understanding of analytics requirements * Dashboard & Report Specification — Define and document reporting requirements, KPI definitions, and data visualization needs * Data Quality Standards — Ensure data consistency and adherence to data modeling best practices * Metrics Tracking — Monitor key metrics and delivery timelines for analytics requests, escalating data issues promptly * Stakeholder Communication — Provide regular updates to management on analytics insights and data health * Quality Assurance — Review data models and reports against specifications and business requirements * User Behavior Analysis — Analyze customer feedback and user behavior data to inform product decisions * Competitive Research — Research competitor metrics and market trends to support data-driven product decisions * AI Tools for Efficiency — Utilize AI tools like ChatGPT for analysis interpretation, documentation, and process optimization * Daily Data Monitoring — Lead daily monitoring of key metrics and data pipeline health * Mixpanel Execution — Use Mixpanel daily for event tracking, funnels, user behavior analysis, and cohort analysis * Advanced SQL Operations — Design and build robust data models, maintain data pipelines, and ensure data accuracy * Release Tracking — Monitor and analyze every product release performance, measuring adoption rates and user engagement post-launch * Events Database Management — Constantly update and maintain events database, ensuring all user interactions are properly tracked * Release Coverage — Cover all new releases with comprehensive events tracking and detailed reports in Mixpanel * Bottleneck Identification — Find and analyze bottlenecks in every release and identify product drop-off points across user funnels * Post-Release Analysis — Conduct immediate post-release performance analysis to catch issues and optimization opportunities early
Requirements * 3+ years in data analyst roles with hands-on analytics and reporting experience * Strong experience in creating detailed analysis documentation and actionable insights * Experience coordinating with cross-functional teams (Product, Dev, Engineering) * Advanced AI tool usage for data analysis and productivity * Excellent attention to detail and ability to spot data inconsistencies and anomalies * Advanced SQL knowledge and experience with data modeling * 2+ years hands-on Mixpanel experience for product analytics * Proven experience in release tracking and post-launch performance analysis * Experience in events database management and maintenance * Strong funnel analysis skills with ability to identify user drop-off points * Strong communication skills for effective team and management coordination * Organized, systematic approach to analytics project management * Results-oriented mindset with focus on data accuracy and insight quality * English fluency * Experience with BI tools (Tableau, Looker) and subscription business analytics * Degree in analytical field (Math, Data Science, Economics) * Experience in at least one of the following domains: * iGaming / Gaming / Social Casino (with strong product analytics background), or * Mobile / Web applications with subscription-based monetization (also with strong product analytics experience)
Nice To Haves * Experience with Python, R for advanced analytics * Experience with GCP, BigQuery for cloud data operations * Marketing analytics and advertising platforms experience * Experience with orchestration frameworks (Airflow)
