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.

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.

Benefits

Stock options + TFSA/RRSP with 4% company match
Comprehensive medical, dental, and vision for you and your dependents
Flex time off + company holidays + designated focus periods
Maternity/Parental Leave EI top-up support offered (after 6 months of service)
Work From Anywhere Month + meeting-free weeks yearly
Life insurance + short/long-term disability coverage
Meals provided, team offsites, and Customer Days
Required in-office days on Tuesday and Wednesday

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythonpipeline analyticsforecast modelingdeal velocitystage conversionrep productivityquota attainmentdata analysisattribution analysis

Soft Skills

exceptional communicationstorytellingself-starter mindsetownership mentalityanalytical rigorcollaborationproactive risk identificationdecision-makingcross-functional teamworkinsight translation