Sr. Product Data Analyst

CompanyCam

4h•$130,000 - $140,000•Remote

About The Position

CompanyCam is a simple-to-use photo documentation and productivity app for contractors. We are committed to providing a consumer-grade, game-changing experience that helps our users build trust within their company and with their customers. We are looking for a Senior Product Data Analyst to be a strategic partner to our product teams and ensure data is at the core of decision-making. This role involves leading data-driven initiatives, designing scalable experimentation frameworks, and championing the Continuous Discovery Habits philosophy across Product, Engineering, and Design. The Senior Product Data Analyst will hold teams accountable to product metrics, assumption testing, and experimentation best practices, while mentoring other analysts and influencing roadmaps through data storytelling. This position blends analytical depth, experimentation strategy, and cross-functional leadership in a fast-paced SaaS environment.

Requirements

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.

Responsibilities

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.