Lead Analyst, Growth (Hybrid)

Homebase•Toronto, ON

1d•Hybrid

About The Position

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.

Requirements

6–8 years of experience in analytics, analytics engineering, or data science roles with measurable business impact; at least 2 years operating at a senior or lead level.
Advanced SQL skills and experience with modern analytics stacks (dbt, Databricks/Snowflake, Looker, Tableau, or Thoughtspot).
Experience designing and interpreting A/B 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.
Strong 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.

Responsibilities

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.