Top Data Jobs in Calgary

As a Product Marketing Manager, you'll own the Financial Services vertical, develop messaging and content, support industry solution launches, and collaborate with teams to drive customer success.

The Product Marketing Manager will focus on the Public Sector, developing messaging and content, supporting sales enablement, and collaborating with teams to drive market success.

The VP of Insurer Sales leads and develops the sales team, drives growth, manages relationships with insurers, and influences product development.

As a Staff Product Manager, you will lead the vision and roadmap for data migration capabilities, strategically collaborating with customers and teams to modernize applications and drive MongoDB's growth.

The Software Engineer will work on data migration tools, using Java and related technologies, collaborating with product and engineering teams.

The analyst validates tax concepts and transaction logic, ensuring data integrity in AI solutions. They design guidelines and address anomalies in tax data.

The role requires providing data insights and analysis for the Emerging Risk team, developing data strategies, and automating reporting frameworks.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The Senior Data Scientist will analyze user behavior, drive product improvements with AI features, and communicate insights to influence business decisions.

The Data Analyst will analyze hiring data to improve recruitment strategies, inform decisions, and enhance the quality and efficiency of hiring processes.

The Data Operations Engineer will ensure the stability and performance of the data platform, manage data pipelines, monitor incidents, and optimize data quality and infrastructure.

As a Senior Data Scientist, you'll partner with cross-functional teams to drive AI/ML impact, influence product strategy, and execute data-driven analyses and experiments.

As a Staff Data Scientist for Dropbox's AI Products, you will define the mission, guide teams, influence product direction, and work with cross-functional teams to drive AI/ML capabilities.

The Data Scientist will analyze user behavior, design experiments, create dashboards, and collaborate with cross-functional teams to drive business growth.

Manage a Business Intelligence team while driving analytics strategy, prioritizing projects, and ensuring performance alignment with business objectives. Lead and mentor team members while partnering with cross-functional stakeholders.

The Staff Data Scientist will analyze user behaviors and drive business impact through analytics, experimentation, and collaboration across teams.

The Senior Data Scientist will support Block's AI, Data, and Analytics team, focusing on payment analytics, A/B testing, and strategic analysis to optimize financial services.

As a Staff Data Scientist, you will lead A/B testing, reporting, and analysis for the Financial Platform, focusing on optimizing payment systems and building data products.

As a Senior Data Engineer, you'll develop and maintain end-to-end data pipelines, work with various data sources, and enhance data architecture at Samsara. You'll also mentor junior members and engage with stakeholders to meet their data needs.

Lead the development of predictive models, ensuring business alignment and project management within the ML Business Modeling team, collaborating with engineers and stakeholders.

Lead and manage the FinPlat data engineering team, overseeing data warehouses and lakehouses, collaborating on data strategies, and ensuring quality data products for financial operations.

The role involves developing advanced predictive models, managing project timelines, collaborating with engineering teams, and ensuring model alignment with business needs.

As a Senior Data Engineer, you'll design and manage ETL pipelines, optimize data models, monitor data quality, and collaborate with teams to support compliance operations.

The Sr. Data Analyst will deliver actionable insights, develop predictive models, build dashboards, and work with stakeholders to drive revenue through data-driven solutions in a rapidly growing startup.

The Data Scientist will develop automated risk monitoring capabilities and key risk indicators, collaborating with teams to enhance decision-making and risk management. Responsibilities include analytics, metric development, and communicating findings to stakeholders to improve risk controls.