The Role

What You'll Do

• Lead continuous discovery efforts by guiding PMs in defining and measuring success metrics, running assumption tests, and building iterative learning into how they work
• Design robust experimentation frameworks, evaluate experiment results, and iterate on key hypotheses
• Build scalable product analytics frameworks that standardize how teams make data-driven decisions
• Enable self-service analytics by improving access to data through Metabase, Amplitude, and Secoda so teams can explore product insights independently
• Mentor junior analysts on statistical methodology, experimentation best practices, and storytelling with data
• Present insights and strategic recommendations to senior leadership regularly to influence product roadmaps
• Champion best practices for both Product Managers and internal data teams around data-driven decision making, experimentation, data governance, and standardization
• Leverage SQL, dbt, and Snowplow to transform, and analyze product data
• Connect data insights to broader business strategy and communicate findings clearly to technical and non-technical stakeholders
• Help foster a culture of experimentation, curiosity, and data-driven learning across Product and Engineering teams

The Impact You'll Have

At CompanyCam, your work makes a real impact. Whether you're writing code, supporting customers, or designing experiences, your contributions directly shape the product we deliver and the people we serve. We're building something that helps real people solve real problems—and we believe that kind of work is best done by a team that reflects the world around us. In this role, you’ll drive impact by:

• Raising the bar on how product teams define, measure, and act on success metrics
• Making experimentation faster, more rigorous, and more trusted across the org
• Influencing product roadmaps with insights that tie directly to business strategy
• Scaling analytics practices so decision-making quality holds as we grow
• Leveling up other analysts through mentorship and shared best practices

What You'll Bring

• 5+ years of experience in product analytics, data analytics, or a similar role
• Strong proficiency in SQL, dbt, Snowplow, Amplitude, and Secoda (or equivalent tools)
• Experience with A/B testing, hypothesis-driven research, and experiment design
• Expertise in statistical modeling, causal inference, and data visualization
• Experience designing and implementing analytics frameworks for scalable decision-making
• Strong leadership skills with the ability to influence product teams and executives through insights and strategic recommendations
• Proficiency in storytelling with data and translating insights into strategy
• Prior experience in SaaS or fast-growing tech environments preferred
• Comfortable working in a high-autonomy, high-accountability environment
• Passion for fostering a culture of experimentation and data-driven learning
• 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.

Benefits & Compensation

This is a salaried position at CompanyCam. Our starting salary range is $130,000-$140,000 per year and is based on experience. We also offer meaningful equity and other benefits.

CompanyCam is an equal-opportunity employer committed to respect, inclusion, and growth. We work hard, take responsibility, and support each other. Great ideas come from all backgrounds, and we carefully consider every applicant without regard to personal characteristics or traits. Even if your work experience doesn’t align perfectly, we encourage you to apply. What really matters to us is your potential, your passion, and your commitment to learning, innovation, and contributing meaningfully to our team.

For any accommodations or technical issues related to the online application or interview process, please email jobs@companycam.com and we’ll respond promptly. Please do not include any medical or health information in your message.

Note: Resumes sent to this email will not be reviewed or responded to. To be considered for a position, you must apply directly through our careers page.