Product Data Analyst III

đŸ”„ 7 minutes ago

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CompanyCam

51 - 200 employees

Founded 2015

☁ SaaS

💰 $30M Series B on 2021-10

SaaS ‱ Construction

CompanyCam is a software platform designed specifically for contractors to manage their job site documentation. It provides tools for photo and video capture, annotations, in-app communications, and collaborative features that allow teams to document and track job progress in real-time. The platform supports integrations with other software and offers AI-powered actions to generate reports and organize information. CompanyCam is widely used across various trades, helping professionals keep projects organized, maintain accountability, and effectively communicate with teams and clients.

📋 Description

‱ Partner with Product Managers to define KPIs, measure success, and support continuous discovery practices ‱ Analyze product usage, customer behavior, and funnel performance to identify trends and opportunities ‱ Support experimentation and A/B testing efforts by measuring results and translating findings into actionable recommendations ‱ Build and maintain dashboards and reporting in tools such as Metabase and Amplitude ‱ Develop analyses that help teams improve product adoption, engagement, and retention ‱ Work with cross-functional teams to ensure consistent metric definitions and trusted reporting ‱ Leverage SQL, dbt, and analytics tools to transform and analyze product data ‱ Enable self-service analytics by training stakeholders on dashboards, reporting tools, and best practices ‱ Communicate complex findings clearly and effectively to both technical and non-technical audiences ‱ Help foster a culture of experimentation, curiosity, and data-driven decision-making across Product and Engineering teams

🎯 Requirements

‱ 2+ years of experience in product analytics, data analytics, or a related field ‱ Strong SQL skills and experience working with modern analytics tools such as dbt, Metabase, Amplitude, Secoda, or similar platforms ‱ Experience supporting product experimentation and A/B testing initiatives ‱ Strong analytical and problem-solving skills with the ability to turn complex data into actionable insights ‱ Experience building dashboards, reports, and data visualizations for business stakeholders ‱ Ability to communicate findings clearly across technical and non-technical audiences ‱ Comfortable working in a fast-paced, collaborative product environment ‱ Experience working closely with Product and Engineering teams in a SaaS environment ‱ Familiarity with cohort analysis, funnel optimization, and behavioral analytics ‱ Background in statistics, experimentation methodology, or quantitative analysis ‱ Passion for continuous learning, experimentation, and improving decision-making through data ‱ A continuous growth-mindset, with a focus on learning, embracing challenges, and continuously improving. ‱ A knack for creativity and innovation, bringing fresh ideas to the table and solving complex problems.

đŸ–ïž Benefits

‱ meaningful equity ‱ other benefits

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