Senior Data Scientist handling AI product lifecycle for Wealthsimple. Working at the intersection of AI research and product development to create real - world impact for clients.
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Data Scientist creating market insights and predictive models for advertising sectors at Guideline. Collaborating with teams to analyze data and drive client engagement.
Team Lead, Digital Analytics managing the development and support of data analytics solutions at BCLC. Leading a team to enhance business intelligence capabilities for effective decision - making.
Senior Manager leading data initiatives for Treasury and Finance at TD. Collaborating with stakeholders for high - quality reporting and analytics.
Senior Data Scientist at Hungryroot, owning machine learning to personalize customer deliveries. Collaborates within a remote - first team to optimize data models and improve customer satisfaction.
Clinical Data Engineer joining a team focused on developing innovative medical devices. Supporting clinical research studies and data analysis to improve patient outcomes.
Data Scientist developing machine learning models and Power BI dashboards at a leading transit bus manufacturer. Collaborating across functions including engineering, quality, and supply chain.
Data Scientist responsible for driving target and incentive strategy for TELUS business customers. Engaging in data analytics and business strategy for measurable transformation.
Data Scientist quantifying credit risk and developing models at Desjardins Group in Montréal. Leading projects and providing expertise in credit risk management and quantification.
Construction Manager overseeing various data center construction projects in Canada. Responsible for execution plans, monitoring progress, and managing labor relations.