Growth Analyst

beehiiv

11d

About The Position

beehiiv is the all-in-one newsletter and creator platform powering the next generation of media companies and independent voices. We help creators and businesses launch, grow, and monetize newsletters—now serving tens of thousands of publishers and reaching hundreds of millions of readers monthly. With $20M+ ARR, 100% YoY growth, and a newly expanded product suite (ad network, website builder, paid tiers), we’re entering our next phase of hypergrowth. We are looking for a Growth Analyst to bring a rigorous, data-driven approach to our growth team. This role will focus on driving insights that optimize paid channels, user journey, activation, retention, and churn reduction. You will work cross-functionally with Product and Growth teams to identify friction points, surface opportunities, and inform actionable insights.

Requirements

1+ year(s) of experience as a Growth Analyst, Data Analyst, or similar role within a SaaS or high-growth tech company.
Strong SQL skills and experience working with BI tools (e.g., Looker, Tableau, Mode, Metabase, or similar).
Familiarity with product analytics tools (Mixpanel, Amplitude, Segment, or similar).
Experience with experimentation methodologies (A/B testing, multivariate testing).
Exceptional ability to translate complex data into actionable insights and communicate effectively with both technical and non-technical audiences.
Strategic operator with hands-on executional chops.
Comfortable working in ambiguous, fast-paced environments.
Obsessed with customer outcomes and accelerating company growth.
Clear and concise communicator, and can effectively develop cohesive data-driven narratives verbally and in written form.

Nice To Haves

Creator economy or SaaS experience is a plus.

Responsibilities

Performance deep dives on paid channels.
Use a data-driven approach to improve activation and retention, and decrease churn.
Build dashboards and reports to track performance, conversion, and adoption.
Develop and maintain experiments (A/B tests, feature flagging) to validate hypotheses and measure impact.
User journey tracking and funnel drop-off
Collaborate with Engineering and Data teams to improve event tracking, instrumentation, and data quality.
Planning and executing on more qualitative measurement (surveys, brand lift studies, and the like)