Top Analytics Jobs in Ottawa

The Customer Engagement Analyst role involves configuring the unitQ platform, conducting analyses, building customer-facing artifacts, and collaborating with teams to address customer needs.

The Director of Data Strategy will develop and execute a data strategy, ensuring data quality and governance across the organization, fostering collaboration among various departments for improved analytics and business outcomes.

The GenAI Engineer will design, build, and deploy Generative AI solutions, focusing on reinforcement learning and multi-agent workflows, while collaborating with various teams to enhance model performance.

Design and lead the development of cloud-native Generative AI platforms and solutions, ensuring scalability, security, and integration with enterprise applications.

Design, build, and deploy scalable ML solutions using GCP and Vertex AI. Collaborate with teams to operationalize models and monitor performance.

Lead analytics initiatives at Duomo, managing a team, utilizing data visualization tools, and collaborating closely with the CEO to drive growth.

The Executive IC, Product will lead product development from strategy through launch while utilizing AI to enhance user experience. This role focuses on building and shipping products directly to customers, impacting their success.

The Executive IC, Design will directly influence Motion's aesthetic across various platforms by producing high-quality designs and utilizing AI tools, while setting the craft standard for the team.

The Executive IC, Marketing will shape Motion's market presence through positioning, storytelling, and campaigns. They will experiment with ideas, build effective systems, and leverage tools for enhanced performance in AI-native marketing.

The role involves owning and shipping a significant product surface at Motion, leveraging AI in engineering workflows, and raising team quality by example.

Lead design and delivery of analytics, dashboards, and data models for Compensation and Benefits. Partner with Total Rewards, HR, Finance, and Technology to provide actionable insights, drive pay equity and regulatory reporting, and implement automation, data governance, and predictive analytics to improve program effectiveness and decision-making.

Lead enterprise data, analytics, and AI transformation engagements as a strategic advisor and architect. Design cloud data platforms, warehouses/lakehouses, governance, BI/semantic models, and integration strategies. Provide delivery oversight, mentor teams, conduct architecture reviews, and support pre-sales and thought leadership to drive measurable business outcomes.

As the GTM Insights & Analytics Lead, you will build BI reporting infrastructure for Sales, Marketing, and Finance, maintain the GTM data dictionary, lead revenue forecasting, and perform analytical projects connecting data across functions.

As the first Data Engineer, you will architect the Snowflake governed query layer, enable AI-driven tools, and define data access standards for various departments, significantly shaping Knak's data infrastructure and analytics capabilities.

Perform product analytics by analyzing large datasets, running A/B tests, building dashboards, applying statistical methods and ML for forecasting and segmentation, and communicating insights to product, sales, and customers to drive adoption and product improvements.

Own the analytics function for an assigned business area (growth, product, AI, or partnerships). Define problems, metrics, and experiments; pull and analyze data; build reports and dashboards; surface insights and drive recommendations through to execution to improve key business metrics.

Embedded on a core business team, you will define problems, build metrics and reports, run analyses and experiments, surface insights, and drive cross-functional decisions end-to-end to improve growth, product, AI/automation, or partnerships.

Embed with a core business area to define problems, build reports and experiments, analyze data, surface insights, and drive decisions end-to-end to improve growth, product, AI/automation, or partnerships.

Embedded BizOps analytics leader owning end-to-end analytics for a business unit: define problems, build reports and experiments, analyze data, surface insights, drive recommendations and execution across growth, product, AI/automation, or partnerships to improve key metrics and scale the business.

Own analytics for an embedded business unit (growth, product, AI/automation, or partnerships): define problems, build metrics and reports, run analyses and experiments, surface insights, make recommendations, and drive execution with cross-functional stakeholders to move key business metrics.

Embed with a core business unit to define problems, build metrics and reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end across growth, product, AI, or partnerships.

Own analytics for an embedded business unit (growth, product, AI, or partnerships). Define problems, build metrics and reports, run analyses and experiments, surface insights, make recommendations, and drive outcomes end-to-end.

Embed with a business unit to define problems, build metrics/reports/experiments, analyze data, surface insights, and drive recommendations to improve product, growth, AI, or partnerships.

The Senior Analytics Engineer will build and maintain data foundations for corporate reporting, translating business requirements into data models, ensuring consistent metric definitions and investigating data discrepancies for reliable reporting.

The FP&A Leader will analyze financial data, support strategic decision-making, and prepare reports for senior management at Tiger Analytics.