Top Data Jobs in Calgary

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

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.

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 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 Data Scientist - Risk role involves developing key risk indicators and metrics, automating risk monitoring, and collaborating with cross-functional teams to analyze product risk.

As a Senior Software Engineer, you will design and build components for the Data Operations Platform, improve internal frameworks, and ensure data quality and governance while collaborating with various teams for scalable solutions.

As a Senior Data Scientist, you'll analyze large datasets, develop models, improve underwriting processes, and collaborate across teams to drive impactful credit strategies.

As a Staff Data Engineer, you'll architect and model data, create ETL pipelines, and standardize datasets for compliance teams. You'll guide best practices and lead data solutions while collaborating with various stakeholders.

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 Staff Data Analyst will lead compliance analytics efforts, develop data strategies, and communicate insights related to compliance and regulatory engagements, focusing on the financial crimes and AML domain.

The role involves analyzing large datasets with SQL and Python, designing experiments, visualizing data, and influencing product strategies to drive business growth.

As a Senior Software Engineer in the Vehicle Diagnostics team, you will design and develop vehicle telematics data products, lead technical discussions, collaborate with teams, and influence platform roadmaps.

Architect and maintain marketing databases and pipelines, implement data infrastructure for AI/ML, and manage data integration in a collaborative environment.

The role involves establishing expertise in payment rails, influencing product roadmaps, building data products, and partnering with leadership to drive data-driven financial impact.

Looking for a Staff Data Scientist to support the Financial Platform team, focusing on A/B testing, reporting, analysis, and automation of financial services.

Analyze large datasets to provide actionable insights, design experiments, communicate findings, and lead cross-functional projects in a growth-focused data science role.

Analyze datasets using SQL and Python, evaluate experiments, partner with ML engineers for model development, and communicate insights to stakeholders.

The Staff Software Engineer will lead the development of backend services and data pipelines for real estate MLS data, mentor teams, and work on AI integration.

As a Senior Data Scientist for Bitcoin at Block, you'll drive product strategy, analyze experiments, and build data tools to enhance bitcoin adoption across Cash App and Square.

The Senior Data Scientist will design, build, and deploy machine learning models in power markets, collaborating with engineering to enhance product capabilities.

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

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

Lead the Orchestration Services team, overseeing data management and engineering projects while fostering team development and collaboration. Drive technical decisions and multi-year roadmaps for new products.

The Product Manager will lead growth initiatives, collaborate across teams, measure success metrics, and enhance experiences using data-driven insights.