Lead Analyst, Growth (Hybrid)

Hi, Future Homie!

At Homebase, you’ll join a team that’s bold, fast-moving, and obsessed with helping small businesses thrive. We build with empathy, act with urgency, and take big swings that drive real-world impact. Here, every Homie shows up to raise the bar, support one another, and celebrate wins as a team. We’re not just building an app—we’re building unstoppable teams. So what do you say, are you in? 📍Your Impact Starts Here

We’re looking for a Lead Growth Analyst who’s passionate about using data, experimentation, and automation to shape the future of Product-Led Growth at Homebase. You’ll play a critical role in accelerating product growth and broader revenue generation, driving clarity across funnels, and building the internal data products that empower every team to make faster, smarter decisions. This is a high-impact opportunity to lead experimentation strategy, connect product and go-to-market data, and create self-serve tools that unlock scale. You’ll collaborate with partners across Product Growth, Marketing, Lifecycle, Engineering, and RevOps to design experiments, model business impact, and tell stories with data that influence where we focus next. If you love turning complexity into leverage – through systems, experiments, and clear narratives – this is your chance to lead that evolution. These are the key ways you’ll contribute and create impact in this role:

• Lead and elevate experimentation practices within the growth org – empowering PMs through coaching on hypothesis framing, experiment design, metrics, and interpretation, while delivering rigorous A/B test insights that improve activation, conversion, and monetization. - Model expected KPI impact and ROI to prioritize the most valuable experiments and initiatives. - Build and maintain a clear, consistent growth metric framework across the funnel, ensuring data definitions stay accurate and reliable across Product and GTM. - Proactively identify growth opportunities and leading indicators – surface trends, risks, or untapped segments before they appear in dashboards. - Build internal data products and self-serve assets (dashboards, metric layers, notebooks, or apps) that empower teams to explore data independently and reduce ad hoc requests. - Translate complex insights into concise, actionable recommendations for executives and business stakeholders. - Partner with Revenue and GTM leaders to connect product engagement data to marketing and sales performance – creating a true end-to-end growth view. - Champion AI-assisted analytics – automate manual workflows, accelerate analysis, and share best practices for AI-enabled decision-making across the org. - Ensure instrumentation and tracking integrity through close collaboration with data engineering peers. - Coach other analysts on experiment design, statistical rigor, and storytelling best practices. These are the experiences and strengths that will set you up for success in this role: