Senior Manager, Product Data Analytics

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Hi, we’re Company Cam. We’re a simple-to-use photo documentation and productivity app for contractors of all commercial and home services industries. Packed with intuitive functionality, Company Cam facilitates unparalleled communication and accountability across a contractor’s entire business. We’re committed to providing a consumer-grade, game-changing experience that helps our users build trust within their company and with their customers.

• We Make Decisions with Confidence, Not Guesswork:
  Data doesn’t just confirm what we think, it guides what we build. We believe every roadmap decision should be informed by insights, not random guessing.
• We Create Clarity Out of Complexity:
  Being great data storytellers allows us to connect the numbers to impact. Data is only as valuable as the clarity it creates and the action it enables.
• We Learn Fast and Continuously:
  Assumptions are hypotheses. Experiments help us validate them quickly. We focus on learning velocity, not just flawless outcomes.
• We Multiply Impact Across Teams:
  Great analytics doesn’t live in a dashboard. It shows up in product decisions, customer experience, and measurable business results. Our role is to empower engineering, product, and design, to use data confidently and independently.
• We Care About Quality, Not Just Quantity:
  We invest in instrumentation, reliability, and precision because sustainable analytics depends on trusted data.

• Creates shared truth across the company
• Connects user behavior to business outcomes
• Provides clarity on what’s working (and what’s not)
• Ensures every product initiative has a measurable definition of success
• Builds scalable systems that help teams learn faster

Our analysts are trusted partners, actively involved in discovery, delivery, and long-term strategic planning.

• Lead the Product Analytics team to turn data into actionable insights that guide strategy, improve user experiences, and drive Company Cam’s growth
• Define and own the product analytics roadmap, setting success metrics and prioritizing high-impact opportunities
• Design, execute, and interpret experiments such as A/B tests and feature rollouts, building frameworks for repeatable learning
• Partner with Product, Engineering, and Design leaders to integrate data into discovery and delivery conversations
• Build and maintain scalable, reliable, and accurate data pipelines, including instrumentation standards and data quality audits
• Mentor and develop a team of analysts, set clear goals and OKRs, and foster a collaborative, growth-minded culture
• Create dashboards and reports that translate complex insights into clear, actionable narratives for teams and senior leaders

• You bring 8+ years of experience in analytics or data science, including 3+ years leading high-performing analytics teams
• You’ve scaled analytics functions, improved decision-making maturity, and built systems that influence product strategy, not just measure performance
• You’re highly fluent in SQL and BI tools (Amplitude, Metabase), and comfortable scripting in Python or R to deepen insights
• You have hands‑on experience with modern data stacks including dbt, Snowflake, and Amplitude, and know how to operationalize them efficiently
• You’re skilled at experimentation and feature‑flagging platforms such as Optimizely and Launch Darkly, and know how to design experiments that drive real product learning
• You thrive in SaaS environments and collaborate naturally with Product, Engineering, and Design to turn insights into action
• You’re an exceptional communicator and storyteller who can translate technical findings into compelling narratives that inspire teams
• You coach analysts into strategic partners who influence decisions and unlock meaningful impact across the business

• Bachelor’s degree in a quantitative field such as Statistics, Economics, Computer Science, Mathematics, or Engineering (Master’s preferred).
• Background in SaaS analytics, product-led growth, or mobile-first products

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