Lead Analyst, Sales (Hybrid)

Homebase•Toronto, ON

61d•Hybrid

About The Position

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? We're looking for a Lead Sales Analyst who thrives at the intersection of revenue strategy and data. You'll be the analytical backbone of our Sales and RevOps motion – owning pipeline health, territory performance, and rep productivity analytics while helping leadership make faster, more confident decisions. This is a high-leverage opportunity to shape how we measure and optimize the full sales funnel, from lead generation through closed-won. You'll partner closely with Sales, RevOps, and Marketing leadership to surface insights that influence GTM strategy, comp design, and quota planning. If you're energized by owning complex analytical systems, influencing sales strategy with data, and building tools that scale beyond individual requests – this role was built for you. These are the key ways you'll contribute and create impact in this role:

Requirements

4–6 years of experience in analytics, with measurable business impact; at least 2 years operating at a senior or lead level.
Advanced SQL skills and experience with modern analytics and CRM stacks (Salesforce, dbt, Databricks/Snowflake, Looker, Tableau, or similar).
Deep experience with pipeline analytics – deal velocity, stage conversion, rep productivity, quota attainment, and forecast modeling.
AI-assisted proficiency in Python for modeling and analysis workflows; comfort using AI tools to extend analytical capability.
Demonstrated ability to model business impact – quantify opportunity size, evaluate ROI by channel or motion, and help prioritize GTM investments.
Experience building scalable, self-serve analytics tools – dashboards, reusable models, and metric layers that reduce one-off requests.
Exceptional communication and storytelling – able to translate complex pipeline and revenue data into clear, executive-ready narratives that drive decisions.
Experience working cross-functionally with Sales, Marketing, RevOps, and Finance in a high-growth SaaS or subscription environment.
Demonstrated AI fluency – leveraging AI tools to accelerate workflows, automate recurring analysis, and enable teams to move faster.
Self-starter mindset, ownership mentality, and the ability to balance analytical rigor with the speed a growth business demands.

Responsibilities

Own pipeline health analytics – build and maintain reporting on deal velocity, stage conversion, win/loss rates, and forecast accuracy to give sales leadership a reliable view of the business at any time.
Partner with RevOps and Sales leadership to evaluate ROI by motion and channel – identifying which go-to-market plays are driving revenue and which aren't pulling their weight.
Develop end-to-end attribution and lead source analysis – connecting marketing inputs to pipeline outputs and closed revenue to inform spend and targeting decisions.
Build and maintain a clear, consistent sales metric framework – ensuring pipeline, activity, and performance KPIs are reliably defined and trusted across Sales and GTM.
Proactively surface risks and opportunities – identify pipeline gaps, rep performance trends, and deal quality signals before they become surprises for leadership.
Build scalable self-serve tools (dashboards, notebook) that empower reps, managers, and executives to track performance without relying on ad hoc requests.
Translate complex analyses into concise, executive-ready insights that drive decisions on headcount, comp, territory design, and GTM investment.
Champion AI-assisted analytics workflows – automate recurring reporting, accelerate analysis, and help the broader sales and ops team leverage data more effectively.
Collaborate closely with data engineering and RevOps to ensure CRM data integrity, event tracking accuracy, and instrumentation completeness for new sales motions.