Product Data Analyst III

CompanyCam

1d•Remote

About The Position

CompanyCam is seeking a Product Data Analyst to empower product teams with data-driven decision-making. This role involves partnering with Product Managers, Engineering, and Design to uncover insights that enhance customer experience, boost engagement, and support long-term retention. The analyst will be instrumental in CompanyCam's continuous discovery process by defining success metrics, validating assumptions, measuring experimentation outcomes, and guiding product strategy. The position requires a blend of analytical rigor, experimentation, and stakeholder collaboration within a fast-paced SaaS environment. This is a remote position requiring the candidate to live and work permanently in the U.S.

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.

Responsibilities

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