Top Data Jobs in Ottawa

The Principal Data Analyst will lead analytical efforts, mentor a team, drive data-informed decisions, and shape the game direction at Rovio.

As a Lead/Principal Data Engineer, you will design and optimize high-volume data pipelines and maintain data infrastructure to support business intelligence and analytics while collaborating with various teams.

The Data Scientist will design experiments, analyze data, and collaborate with teams to drive product innovation and support data-informed decision-making.

The Data Analytics Manager will lead a team, manage analytics for a business line, and provide actionable data-driven insights to support growth.

The Senior Data Engineer will architect scalable data pipelines, develop ETL processes, perform data analysis, and mentor juniors while ensuring data quality and governance.

Lead Data Scientist responsible for designing and implementing data-driven solutions, leading teams, and collaborating with stakeholders on AI projects.

As a Senior Data Engineer, design real-time data pipelines, improve data management solutions, and support data accessibility for blockchain applications.

The Data & Business Intelligence Analyst manages the data lifecycle, building ETL pipelines, designing data models, creating dashboards, and conducting analyses to drive data-driven decision-making.

Lead and grow a data science team focused on monetization strategies, ensuring user privacy while delivering insights and optimizing features.

As a Data Scientist, you will leverage LLMs and Generative AI to enhance threat protection, utilize data visualization, and lead data science projects.

The Sr Data Analyst will leverage SQL and Snowflake to analyze data, collaborate with teams, and drive insights in P&C Insurance.

The AI-First Data Analyst will conduct causal analysis, build AI tools, develop dashboards, and work with business leaders to solve problems.

As a Senior Data Scientist, you'll develop analytical solutions, focusing on performance marketing, player incentive systems, and driving strategic projects through data insights.

The Guidewire Data Engineer will design schemas in Snowflake, develop ETL processes, optimize SQL queries, and integrate Guidewire with data platforms.

As the Head of Data, you will develop and execute data strategy, manage data teams, oversee governance, and drive data-driven decisions to boost business growth.

Seeking a Data Engineer with expertise in database design, AWS services, and data analysis to help solve business challenges.

The Senior Data Architect will enhance data strategies, design information architectures, modernize complex data landscapes, ensure data quality and compliance, and lead collaborative initiatives with engineering and product teams.

The Data Lead will define and execute the data strategy, modernize the data stack, establish a centralized data platform, and lead the data team while partnering with cross-functional stakeholders.

The Senior Data Scientist will collaborate with engineering and product teams to define data assets, improve KPIs, and enhance analytics for AI-powered products.

As a Data Engineer, you will develop and maintain data pipelines, build scalable data models, implement data security, and collaborate with teams to enhance data visibility and support AI initiatives.

As a Senior Data Analyst at Athena, you'll provide actionable insights through reports and dashboards, ensure data accuracy, and collaborate with stakeholders to support business decisions.

As a Senior Data Engineer, you'll design and implement data pipelines, architect AWS data infrastructure, ensure data quality, and support ML model training and inference for an AI-powered cybersecurity product.

The Senior Data Engineer will design and manage data pipelines, work with diverse teams on data solutions, and engage in R&D initiatives.

The AML Data Specialist supports data operations in the AML department, ensuring data integrity, analyzing, and reporting data, and collaborating across departments.

Design and maintain Data Lakehouse solutions, develop ETL/ELT pipelines, optimize data storage, and collaborate with cloud and DevOps teams.