Top Data Jobs in Ottawa

Lead data and AI transformation programs, partnering with executives to define strategies and deliver modern data platforms and solutions, while driving business growth and ensuring excellence.

The Sr. Data Analyst will deliver actionable insights, develop predictive models, build dashboards, and work with stakeholders to drive revenue through data-driven solutions in a rapidly growing startup.

The Senior Data Coordinator oversees data management processes, ensuring data accuracy, integrity, and compliance. This role leads efforts to streamline data operations, mentors junior staff, and develops documentation for data workflows.

The Business Data Engineer will design and maintain data pipelines, collaborate with business teams for analytics, and optimize data processing using Databricks and Power BI.

The Data Pipeline Engineer will design distributed data processing pipelines, optimize data workflows, and collaborate with teams to develop machine learning solutions for telecommunications data.

The Data Analytics Engineer will design and implement data processing applications, support data pipelines, and collaborate on ML innovations while optimizing workflows.

You will collaborate on integrations, maintain high code quality, and troubleshoot to ensure reliable blockchain data for staking products.

Design and implement next-generation crypto data systems, manage project priorities, mentor team members, and write high-quality code for Coinbase's Asset Data Platform.

The Staff Software Engineer will lead the development of backend services and data pipelines for real estate MLS data, mentor teams, and work on AI integration.

The Senior Data Analyst will conduct complex data analyses, build executive dashboards, mentor junior analysts, and collaborate with various departments to drive insights and decision-making.

The role involves establishing expertise in payment rails, influencing product roadmaps, building data products, and partnering with leadership to drive data-driven financial impact.

Looking for a Staff Data Scientist to support the Financial Platform team, focusing on A/B testing, reporting, analysis, and automation of financial services.

Lead the Orchestration Services team, overseeing data management and engineering projects while fostering team development and collaboration. Drive technical decisions and multi-year roadmaps for new products.

The Data Analyst will oversee data research projects, implement data reporting best practices, analyze marketing campaign effectiveness, and provide insights to drive growth for Canadian digital identity.

This role involves deploying solutions for clients, managing data compliance, and providing feedback for product improvement. Requires collaboration with teams and clients.

Provide expert guidance and support in a secure, isolated Linux environment, managing infrastructure from setup to operations, including security and backups.

As a Software Engineer on the Semantic Data Modeling team, you'll develop data models, collaborate on data transformations, and improve data standardization and schema enforcement.

The Technical Project Manager oversees automation projects, ensures design and engineering align with standards, and manages stakeholder relations to drive project success.

The Director of Business Development will drive business opportunities for Vantage in the AI infrastructure ecosystem, managing relationships, and accelerating leasing velocity.

Lead strategy and execution of Marketing Automation initiatives, partnering with teams to unify customer data and enhance engagement through data-driven insights.

Lead the design and development of scalable data acquisition systems, architect core components, and mentor engineers while collaborating across teams to fulfill data integration needs.

The role involves leading the design, development and implementation of software projects, mentoring developers, and driving innovation in Autodesk's AEC data services.

The Senior Data Analyst will enable strategic decision-making through data analysis, reporting, and collaboration with stakeholders to ensure high-quality data integrity.

The Data Analyst will develop reports, analyze data, and present insights to support business functions, collaborating with stakeholders to gather requirements and ensure effective decision-making.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.