Top Data Jobs in Calgary

Lead the analytical team, execute high-impact analyses, develop frameworks and dashboards, and communicate insights effectively to stakeholders.

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

The Product Manager will define roadmaps and enhance financial data products with a focus on private market content, collaborating with engineering and design teams.

The Staff Data Engineer will design data pipelines, optimize ETL processes, and collaborate with various teams to enhance data-driven solutions for senior living technology.

The Data Analyst will partner with clients to provide insights and recommendations on revenue performance and marketing spend optimization using HockeyStack's platform.

Manage a 6-person Data Science team focused on ensuring safety on the platform, while improving processes and stakeholder management. Collaborate with cross-functional teams and provide strategic insights for safety initiatives.

Lead and mentor teams in data science and analytics to deliver financial metrics and optimize risk management, collaborating across departments.

Lead the Connected Data team at MaintainX, driving the roadmap for machine data connectivity from various sources, collaborating with AI/ML and engineering teams, and ensuring effective product solutions and user value realization.

Lead Glean's engineering team in building and scaling enterprise data management systems, collaborating on product initiatives and delivering robust solutions.

As a Software Engineer on Glean's Data Foundations team, you'll build and scale data ingestion connectors, transforming unstructured content into structured data while ensuring system reliability and security throughout the data processing pipeline.

The Data Conversion Lead will manage data migration activities for Oracle implementation, ensuring accurate data conversion from legacy systems, collaborating with stakeholders, and leading data mapping, cleansing, and validation efforts.