Manager, Platform Analytics

Overview

The Manager, Platform Analytics leads the analytics function supporting the reliability, efficiency, useability, and scalability of our core platforms. This role translates data into insights that drive product decisions, operational excellence, and business growth. This role focuses on product user experience, operational health, service performance, capacity, and cost transparency, enabling the Product & Technology teams and leadership to proactively manage the platform and make data‑driven operational decisions.

The Manager, Platform Analytics defines how platform health is measured, ensures operational data is trusted and actionable, improves feature adoption, and leads a team that improves uptime, resiliency, and operational efficiency.

Starting base pay for this role is between $122,000 and $154,000. The actual base pay is dependent upon many factors, such as transferable skills, work experience, business needs, training, location, and market demands. The base pay range is subject to change and may be modified in the future. This role will be eligible for a bonus as well as competitive medical, dental, and vision benefits, wellness reimbursement, life insurance, and a 401(k) with company match.

We offer vacation and sick leave benefits (under a flexible time off policy in most states).

• Defines and owns the end‑to‑end analytics strategy for Product & Technology, ensuring alignment across system reliability, operational performance, and product growth objectives
• Builds, mentors, and manages a high‑performing team of analysts and specialists supporting platform operations and product lifecycle insights
• Leads performance management and compensation processes for assigned team members, including completing year‑end reviews
• Establishes best practices for operational and product‑led metrics, reporting, and data governance to ensure a unified "source of truth"
• Prioritizes analytics initiatives based on operational risk, business impact, and the roadmap to support both stability and innovation
• Owns measurement frameworks for OLAs, KPIs, and product success signals (e.g., retention, churn, and feature adoption)
• Partners with internal teams to measure platform performance, reliability, and user behavior patterns to drive scalability
• Analyzes trends in incidents and outages while investigating user friction points to identify root causes and prevention opportunities
• Supports infrastructure capacity planning and utilization analysis alongside user growth and demand forecasting
• Develops transparency into platform costs and efficiency, as well as the ROI of product features and enhancements
• Acts as a lead analytics advisor to the Director of Platform Operations, Product Management, and senior leadership
• Converts complex operational and behavioral datasets into clear, actionable recommendations for diverse stakeholders
• Enables leadership to navigate tradeoffs between technical reliability, development speed, cost, and user experience
• Ensures the accuracy and consistency of all operational data and product telemetry/instrumentation
• Collaborates with Data Engineering and Product teams to enhance data pipelines, models, and event‑tracking frameworks
• Builds dashboards and tools providing real‑time visibility into platform health and product performance
• Maintains comprehensive documentation for all operational and product‑related metrics and definitions
• Proactively collaborates with internal and external stakeholders to identify improvements, deliver data solutions, and measure impact

• Bachelor’s degree in Business Administration, Analytics, Information Technology, or similar required. Advanced degree is a plus
• 7+ years of experience in analytics, data, or platform operations
• 3+ years of leading or managing teams
• Proven experience defining analytics strategy and measurement frameworks for technology platforms or infrastructure systems
• Strong expertise in operational analytics, including reliability, performance, availability, capacity planning, and cost optimization
• Hands‑on experience with analytics, AI analytics, and BI tools and working with large, complex datasets
• Demonstrated ability to…