Basic InformationJob Name Data Scientist III - Canada
Country Canada
State NA
Date Published 01-May-2026
Job ID 46747
Travel You may occasionally be required to travel for business
This role can be based remotely in Canada Looking for details about our benefits? You can learn more about them by clicking
HERESenior Data AnalystLocation: Canada Remote
We are seeking a Data Analyst to lead the most critical analyses and measurement frameworks across the GTM business. This will be a high-impact individual contributor role for someone who can own ambiguous problem spaces, build trusted executive-level insights, and raise the bar for analytics rigor, metric consistency, and storytelling.
This role will partner with senior stakeholders across GTM (Sales/RevOps/CS), Product, and Finance to define success metrics, perform source system discovery, build scalable data solutions, reporting and insight engines, and drive measurable outcomes. This role will work closely with Data Engineering and Analytics Engineering, is highly hands-on in analysis (SQL), source system discovery, functional and technical requirements, UI design, enablement, and insight delivery.
Key Responsibilities - Lead High-Stakes, Ambiguous Analytics (Hands-On)
- Own end-to-end analytics for strategic initiatives (e.g., growth, retention, renewals, pipeline health, product adoption, customer outcomes).
- Translate ambiguous business questions into crisp analytical plans: hypothesis → data needs → method → results → action.
- Deliver executive-ready insights with clear recommendations, tradeoffs, and measurable impact.
Define Metrics, Measurement, and Decision Systems - Establish and enforce consistent definitions for core KPIs (ARR/NRR, churn, pipeline coverage, expansion, activation, retention, usage).
- Design measurement approaches for complex motions (multi-touch attribution, cohort retention, funnel conversion, renewals risk).
- Build scalable scorecards and operating cadences (weekly business review, monthly ops review, QBR packs).
Build Scalable Analytics Assets (Not Just One-Offs) - Partner with Analytics Engineering / Data Architecture to translate logic into durable datasets, marts, and semantic definitions.
- Create reusable analytical frameworks:
- cohort and segmentation models
- driver trees and decomposition
- leading indicator dashboards and alerting definitions
- Ensure analysis is repeatable, versioned, and production-minded.
Advanced Analytics & Causal Thinking - Experience with Diagnose drivers and root causes (variance analysis, decomposition, pathway analysis, survival/retention patterns).
- Exposure to building pragmatic forecasting/what-if models (pipeline scenarios, renewal outcomes, capacity planning).
Executive Storytelling & Stakeholder Leadership - Act as a thought partner to leaders: shape decisions, not just report numbers.
- Develop crisp narratives that connect metrics to actions: "what happened, why, what to do next."
- Raise analytics standards through mentorship, templates, review processes, and best practices.
- Shape
Required Qualifications - 8+ years in analytics (Lead/Senior Analyst roles), ideally in B2B SaaS or subscription businesses.
- Expert-level SQL (complex joins, window functions, performance-aware querying) and comfort working directly in Snowflake or similar.
- Proven track record driving measurable outcomes through analytics (growth, retention, pipeline, efficiency, product adoption).
- Strong experience with data modeling concepts (grain, dimensions/facts, metric logic) and partnering to productionize analytics.
- Proven experience driving source-system discovery and converting findings into clear data requirements/specs (entities, fields, grain, rules, SLAs) for Data Engineering to build the data model and pipelines.
- Proven experience with BI tools (Tableau, Power BI, Looker) and building high-trust dashboards.
- Strong experience with a scripting language like Python is desirable.
- Demonstrated ability to influence senior stakeholders with clear recommendations and strong business judgment.
- Strong communication skills: executive storytelling, clear written narratives, and concise visuals.
- Business acumen: understands SaaS economics and how decisions translate to outcomes.
- Systems mindset: builds repeatable measurement and scalable analytics, not fragile one-offs.
- Experience implementing KPI governance, metric catalogs, or semantic layers
- Experience with SaaS GTM systems and data sources: Salesforce, Marketo/HubSpot, Zendesk, Gainsight, Netsuite.
The annual base salary range represents the low and high end of the BMC salary range for this position. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs.
The range listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits.
At BMC, it is not typical for an individual to be hired at /near the top of the range. A reasonable estimate of the current range is $100,950 - $168,250
