Top Data Jobs in Ottawa

The Data Analyst is responsible for master data management, reporting and data visualization, utilizing Power BI and SQL for actionable insights to support business decisions.

As a Senior Data Engineer, you will design, build, and maintain analytics platforms, establish data models, and support cross-functional teams to leverage data for business growth.

The role involves developing ML models, managing data workflows, and working within an Agile team to optimize security products.

The data scientist will analyze user behavior, drive data decisions, perform A/B testing, and build data models to support business products.

The Data Analyst II will manage data-driven projects, clean data, apply statistical techniques, validate models, and create reports.

Responsibilities include designing and analyzing survey studies, conducting statistical analysis, and collaborating with teams to deliver insights on consumer satisfaction.

The Data Scientist will develop and implement advanced analytics and AI solutions, enhance user experience, and provide actionable insights for small businesses.

Drive innovative AI solutions, collaborate across teams, provide client insights, and develop machine learning models to solve complex business challenges.

As a Data Engineer III, you will design and build data pipelines, ensure data quality, implement ETL best practices, and mentor junior engineers.

As a Data Engineer III at SurveyMonkey, you will design and build data pipelines, implement ETL practices, and mentor junior engineers. You will transform business requirements into technical solutions and ensure data quality and performance in our data models.

As a Data Analyst for Marketing and Supply, you will analyze marketing campaigns, maintain attribution models, and develop data dashboards to drive strategic decision-making.

The Senior Data Software Engineer will architect and maintain scalable data pipelines, collaborating with scientists and engineers to enhance data operations for quantum applications.

The Senior Data Scientist will lead the optimization of ML algorithms, develop production-grade models, and enhance advertising effectiveness using statistical insights.

As a Data Consultant, you will oversee client data quality, lead implementations, provide ongoing consultation, and ensure clients achieve their business goals through effective data practices.

The Data Scientist will develop insights from user behavior, validate hypotheses through A/B testing, and build dashboards to track product metrics, collaborating with various teams to shape the product direction.

The Senior Data Scientist will develop advanced analytics solutions, collaborate with teams, and drive data-driven decisions in the insurance domain.

The Data Engineer will build data pipelines, work with cloud technologies, and manage data workflows using Python and Airflow. Candidates should have significant experience with data warehousing and databases.