Homebase
SaaS
LeadAnalyst,Growth
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Analyst, Growth at Homebase. Skills: Growth analysis, Experimentation, Data modeling, Self-serve analytics, Stakeholder communication. Lead and elevate experimentation practices within the growth org. Coach PMs on hypothesis framing, experiment design, metrics, and interpretation”
What You'll Achieve.
Accelerating product growth; Broader revenue generation; Driving clarity across funnels; Building internal data products that empower every team to make faster, smarter decisions; Lead experimentation strategy; Connect product and go-to-market data; Create self-serve tools that unlock scale; Improve activation, conversion, and monetization; Prioritize the most valuable experiments and initiatives; Ensure data definitions stay accurate and reliable; Surface trends, risks, or untapped segments before they appear in dashboards; Empower teams to explore data independently; Reduce ad hoc requests; Create a true end-to-end growth view; Automate manual workflows; Accelerate analysis; Enable others to do the same
Industry & Context.
Turn complexity into leverage; Solve problems with empathy and creativity
What They're Looking For.
Must Have
6–8 years of experience in analytics, analytics engineering, or data science roles with measurable business, at least 2 years operating at a senior or lead level, Advanced SQL skills, experience with modern analytics stacks (dbt, Databricks/Snowflake, Looker, Tableau, or Thoughtspot), Experience designing and interpreting A or multivariate tests, including statistical power and significance frameworks, Proficiency in Python or R for analysis and experimentation workflows, Ability to model business impact, quantify opportunities, and prioritize by expected ROI, experience building scalable, self-serve analytics tools (dashboards, reusable notebooks, or metric layers), Exceptional communication and storytelling – able to translate complex data into executive-ready insights and influence decision-making, Experience working across Product, Marketing, and GTM teams in a high-growth SaaS or subscription environment, Demonstrated AI fluency – leveraging AI tools to accelerate workflows, increase analysis velocity, and enable others to do the same, Self-starter mindset, ownership mentality, and the ability to balance speed with analytical rigor
Nice to Have
PhD preferred, specific ML framework experience, cloud platform certs
What You'll Do.
Lead and elevate experimentation practices within the growth org
Coach PMs on hypothesis framing
Deliver rigorous A/B test insights that improve activation
Model expected KPI impact and ROI to prioritize experiments and initiatives
Build and maintain a clear
consistent growth metric framework across the funnel
Ensure data definitions stay accurate and reliable across Product and GTM
Proactively identify growth opportunities and leading indicators
or untapped segments before they appear in dashboards
Build internal data products and self-serve assets (dashboards
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
Create a true end-to-end growth view
Champion AI-assisted analytics
Automate manual workflows
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
and storytelling best practices
How You'll Work.
Team & Collaboration
Collaborate with partners across Product Growth, Marketing, Lifecycle, Engineering, and RevOps; Partner with Revenue and GTM leaders; Close collaboration with data engineering peers; Panel interview with cross-functional partners
Communication Scope
Exceptional communication and storytelling; Translate complex data into executive-ready insights; Influence decision-making; Storytelling best practices
Full Job Description
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
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