Top Data Jobs in Calgary

The Sr Business Analytics Data Solutions Consultant leads data analytics services, providing insights and strategies to improve operational efficiency for clients, while supporting sales efforts and managing cross-functional projects.

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.

This role involves managing data science initiatives, maintaining and monitoring data pipelines, administering databases, and leading analytics projects. Candidate will use tools for data analysis and collaborate with teams for decision-making support.

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.

As a Data Engineer at Clio, you will build data pipelines and warehouses, implement data ingestion, and collaborate with engineers to enhance data integrity and documentation.

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.

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.

As a Senior Data Scientist, you'll solve complex business problems using analytics and machine learning, fostering collaboration and innovation. You'll lead projects, leveraging data insights for performance marketing and drive organizational progress with effective data solutions.

The Staff Data Analyst will support the product team by analyzing product data to optimize development and improve user experiences. Responsibilities include leading analytics initiatives, conducting user behavior analysis, and mentoring team members.

The Junior Data Scientist will analyze machine learning model performance, communicate insights, and support model validation. Strong presentation skills required.