Docker seeks a Senior Marketing GTM Analytics Manager to connect customer, campaign, product usage, and revenue data; own funnel and attribution methodologies; build scoring and account intelligence for ABM; design experiments; and deliver scalable datasets, dashboards, and executive-ready insights. Requires 7+ years in marketing/growth/GTM analytics, advanced SQL, and experience with CRM, cloud warehouse data, and tools like Snowflake, Sigma, and Salesforce.

Procurify seeks a Senior FP&A Analyst to build and maintain driver-based operating models, perform budgeting/variance/forecasting analyses, develop automated reporting and dashboards for SaaS metrics, and champion adoption of AI/LLM-powered workflows. Role partners with Finance and RevOps and requires 5+ years in FP&A or data-focused finance roles and advanced Excel/Google Sheets proficiency. Remote-first within Canada.

Ashby is hiring a Data Analytics Manager to lead and grow a team of three Data Analysts, improve analytics practices, and remain hands-on with analysis, modeling, and dashboarding. The role requires deep SQL experience, working fluency with dbt-style data modeling, cloud data warehouses, and BI tools, plus demonstrated ability to hire, coach, and set analytical standards; the position is remote with listed US and Canada locations.

Mozilla seeks a Marketing Data Science Manager to own global data strategy for Firefox Marketing, build new data capabilities, and lead measurement across performance, brand, and user insights (including MMM, causal lift, saturation modeling, retention/LTV, segmentation). Role requires 6+ years in marketing data science, proficiency with marketing analytics tools (e.g., Google Analytics, advertising platforms), team leadership, stakeholder management, and translating data into practical recommendations. Position is remote (Canada); employer-provided annual salary ranges are listed for Canada Tier 1 and Tier 2.

Sonatype seeks a Senior Data Analyst on the Business Intelligence team (must be based in Canada). Responsibilities include analyzing product usage and telemetry, owning end-to-end analytics and data modeling, building dashboards and KPIs, partnering with cross-functional stakeholders, and mentoring junior analysts. Required: 5+ years in data/BI/product analytics (SaaS/tech), advanced SQL and Python, Databricks (PySpark, notebooks, data lakehouse/medallion architecture), experience with visualization tools (Looker preferred), AWS S3, APIs, JSON and GitHub.

The Data Analytics Lead at Veeva Ostro will own and scale the data platform, deliver product and custom analyses for clients, guide customer data integrations, and mentor a team of data analysts and engineers. Requires deep hands-on SQL/Python, data modeling, advanced quantitative analysis, experience with modern AI-ready data architectures, 10+ years in data science/analytics or data engineering (including managerial experience), and recent experience related to the pharmaceutical/life sciences industry. Base salary range: 200,000–300,000 CAD per year.

Twilio is hiring a Senior Data and AI Specialist (remote, Canada) to design and deploy LLMs and agentic workflows, build automated Python-based data pipelines, perform SQL-based root-cause analyses across telecom datasets, and create repeatable BI solutions (Tableau/Looker). The role requires 5+ years developing technical data and automation solutions and involves cross-functional collaboration with Carrier Relations, Product, Engineering, Supply Operations, and Finance; occasional travel may be required.

Remote-facing Analyst role within Corporate Strategy & Transformation at Granicus supporting cross-functional AI transformation workstreams. Responsibilities include building analyses and models, mapping workflows, running pilots of AI-enabled workflows, defining KPIs, tracking impact, preparing executive materials, and supporting program coordination across Sales, Customer Success, Support, Operations, Finance, IT, and Product. Targeted experience: 1–3 years in consulting, investment banking, corporate development, strategic finance, or similar.

Serve as a strategic analytics advisor for clients, leading measurement strategy, Adobe Analytics and CJA implementations, audits, and reporting. Requires strong data storytelling, stakeholder communication, and hands-on experience with Adobe Analytics/CJA (preferred 5+ years). Employer indicates willingness to sponsor eligible employment visas; candidates must be legally eligible to work in Canada.

Role on Kraken / Payward's Data & Audit Readiness team owning inventories, playbooks, catalogs, and access processes to ensure datasets are audit-ready. Hands-on responsibilities include building ETL pipelines, dashboards, reusable audit-ready dataset patterns (validation, data quality checks, monitoring), and coordinating downstream impact analysis. Requires 7+ years experience with strong SQL, Python, dbt, Airflow and experience in regulated/fintech/crypto environments.

Role partners with GTM leaders to analyze pipeline, segmentation, conversion, retention, and productivity; build dashboards, forecasting and decision-support models; use SQL, Python, and BI tools to produce scalable reporting; and identify opportunities for automation and AI to improve revenue performance.

Join Kraken as a Product Data Analyst responsible for end-to-end data ownership: building and maintaining production-grade pipelines and dbt models, designing dashboards and metric frameworks, leading A/B testing and causal inference, and delivering insights that drive product decisions. Requires 7+ years in data analytics/analytics engineering (preferably fintech/crypto), strong SQL and Python skills, experience with dbt and orchestration tools, and fluency in English.

Senior analytics role within centralized analytics partnering closely with Growth Marketing, Corporate Marketing, RevOps, Finance and Data Engineering. Responsible for marketing measurement, attribution modernization, forecasting, KPI development, and building data foundations for AI/automation. Remote opportunity limited to the United States and Canada; travel for in-person engagement is expected.

The Senior Revenue Analytics Analyst partners with Solution Architects, Sales Strategy, Ecosystem, and RevOps to translate pre-sales and sales questions into analytical requirements, build AI and BI solutions, and maintain analytics foundations. The role requires strong SQL and Python skills, experience with Snowflake/dbt and BI tools (Tableau), and expertise in segmentation, cohort analysis, experimentation, and data quality to drive insights and automation for go-to-market teams.

Senior-level Product Analytics role focused on AI-powered product experiences (Grafana Assistant, Investigations, AI observability). Responsibilities include defining success metrics and dashboards, guiding instrumentation, designing and interpreting experiments, developing dbt models, and partnering cross-functionally with Product, Design, Engineering, and Data teams. Salary range for Canada: 164,490–197,389 CAD per year.

Grafana Labs is hiring a Marketing Analytics Director (Canada, remote) to build and lead the marketing data stack, design predictive models (Attribution, MMM, LTV), implement forecasting and causal-inference workflows, and deploy agentic/LLM-driven monitoring and automation. The role requires mastery of SQL and Python, hands-on BigQuery experience, and 8+ years in marketing analytics/GTM strategy; OTE range provided for Canada: CAD 180,939–217,128.

Responsible for designing and executing evaluation frameworks, performing lift analyses, backtests, and champion/challenger tests, profiling vendor datasets, and translating findings into actionable vendor decisions. Requires 3–5 years of analytical experience (fraud, risk, fintech or data-heavy SaaS), proficiency in SQL and Python or R, strong statistical understanding, and experience working with external datasets.

Contractor mentor role supporting learners in Udacity's School of Data. Requires 5+ years of relevant technical experience and proficiency in Python and/or SQL, data analysis and modeling, ETL and data pipelines, data visualization tools (e.g., Pandas, NumPy, Tableau/Power BI), and familiarity with databases and data warehousing. Responsibilities include 1:1 mentoring, technical deep-dive presentations, and group Q&A sessions.