Data Scientist at Desjardins, a financial services cooperative, developing advanced analytics, machine learning and AI models. Advising stakeholders and supporting data - driven business decisions.
About the role
- GTM Analytics Lead at Spellbook, focusing on analyzing and driving go-to-market performance through data insights. Collaborate across Marketing, Sales, and Finance to optimize growth strategies.
Responsibilities
- Drive GTM Performance Through Data
- Own and refine how we measure performance across marketing, pipeline, and revenue
- Turn data into clear recommendations on where to invest, what to cut, and how to scale
- Act as a strategic partner to GTM leaders on channel strategy and performance
- Ensure growth is not just fast, but efficient and sustainable (strong conversion, healthy CAC, durable revenue)
- Channel Discovery & Optimization
- Identify new acquisition channels and opportunities to drive incremental pipeline
- Deeply analyze existing channels (paid, outbound, partnerships, organic) to improve efficiency and output
- Separate signal from noise — understand what is actually driving pipeline and revenue vs what looks good on paper
- Evaluate incrementality and ROI across all GTM spend to ensure scalable, repeatable growth
- Marketing → Sales → Revenue Connectivity
- Tie marketing activity directly to sales outcomes (conversion, velocity, ACV, win rates)
- Identify friction points across the funnel and quantify impact
- Build views that reflect real sales cycles (not artificial month-based reporting)
- Highlight where growth is coming from high-quality vs. low-quality pipeline
- Real-Time GTM Insights
- Build and maintain reporting that gives teams real-time visibility into performance
- Enable faster decision-making across Marketing, Sales, and Leadership
- Move the org from lagging indicators → leading indicators
- Surface early signals on pipeline quality, conversion risk, and revenue durability
- GTM Data & Tooling Ownership
- Work across the full GTM stack to ensure data is usable, connected, and actionable:
- CRM: HubSpot / Salesforce
- Sales tools: Nooks, Unify, Gong
- Marketing tools + attribution systems
- Data stack: Snowflake, dbt, BI tools (Omni, Looker, etc.)
- Build and refine datasets that power GTM reporting (pipeline, attribution, channel performance)
- Experimentation & Insight Generation
- Partner with Growth and Marketing to analyze experiments and campaigns
- Build frameworks to quickly evaluate what’s working and what’s not
- Continuously surface insights that drive iteration and improvement
- Ensure experiments lead to scalable wins, not one-off spikes
Requirements
- 7–10+ years in analytics, growth analytics, or data roles
- Experience owning or standing up GTM / growth analytics in a high-growth SaaS environment
- Strong exposure to marketing + sales data and full-funnel analysis
- Strong SQL and data modeling experience (non-negotiable)
- Experience building datasets and working in modern data stacks (dbt, Snowflake, etc.)
- Comfortable working across messy, imperfect data environments
- Deep understanding of how SaaS GTM works end-to-end
- Strong intuition around channels, pipeline generation, and revenue drivers
- Ability to tie analysis directly to revenue quality, not just volume
- You don’t just report — you push decisions
- You focus on impact, not dashboards
- You know how to prioritize what actually moves revenue
- You care about building a durable growth engine, not short-term wins
- Can translate complex data into simple, actionable insights
- Comfortable working directly with execs and influencing GTM strategy
Benefits
- Access our company-paid group benefits for you and your family, with $1,000 towards mental health support
- Disconnect during our holiday closure and take advantage of our generous time off policies throughout the year
- Enjoy monthly paid meals, an annual wellness allowance to support your well-being and parental leave top-ups as your family grows
- Secure your stake in our success; you’ll receive competitive stock option grants as a pivotal early employee
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