Top Analytics Jobs in Ottawa

Manage a high-performance Analytics Engineering team, translating business needs into data models, while enhancing the Data Program and implementing DataOps.

Lead and scale a data team, manage the full data lifecycle, define data strategies, and collaborate across departments to leverage data for product growth and insights.

Build scalable analytics pipelines using modern data technologies, design data integrations, optimize systems, and collaborate with cross-functional teams.

The Senior Manager in Quantitative Analytics will develop modeling infrastructure, collaborate on analytics tools, and enhance data-driven loan performance models.

As a Senior Analytics Engineer, you'll design and implement scalable data models, collaborating across departments to deliver reliable data products that inform critical company decisions.

Lead the Client Analytics Partners team, driving strategic client reporting and insights, managing high-priority client partnerships, and fostering continuous improvement within the team.

The Manager of Product Analytics is responsible for developing insights, reporting, and managing the analytics team, focusing on product performance and user activity to inform business decisions.

The role involves building and maintaining data pipelines, developing dbt models, and creating dashboards for People Analytics, while collaborating with stakeholders to define KPIs and strategies.

Lead software development for healthcare solutions, translating business needs into scalable systems while providing technical leadership and mentoring junior engineers.

Lead the finance data team in managing data analytics initiatives, financial forecasting, and ensuring data integrity in financial reporting.

The Manager, Marketing Analytics will lead the analytics team to optimize marketing strategies, manage data insights, and mentor analysts.

As a Senior Analytics Engineer, you will manage end-to-end analytics infrastructure, ensuring data quality, collaborating with teams, and promoting best practices.

The Data Scientist will develop and evaluate generative AI products using machine learning and collaborate with various teams to drive strategy and value.

The Analytics Engineer will build and test data products, optimize raw data, and collaborate across teams to enhance data literacy and governance.

The Staff Analytics Engineer will design a business data layer in Snowflake and dbt, ensuring accurate GTM metrics and mentoring data team members.

The Data Engineer will design databases, manage large data sets, create dashboards, and generate insights using advanced analytics. The role requires collaboration and strong analytical skills to solve business challenges using data.

Lead analytics capabilities for PlayStation, focusing on marketing and publishing decisions, while managing data models and mentoring engineers.