Top Data Jobs in Calgary

Lead the design and delivery of scalable data solutions, driving data strategy and supporting business users in insights delivery through mentorship and best practices.

Develop and implement fraud detection models using machine learning techniques, analyze data for patterns, and optimize existing models for risk management.

The Senior Software Engineer will develop the data platform, build services, improve operational excellence, and mentor other engineers in a data-intensive environment.

The Technical Project Manager oversees automation projects, ensures design and engineering align with standards, and manages stakeholder relations to drive project success.

Analyze and optimize pricing, billing, and deployment metrics. Collaborate across teams to ensure data-driven decisions and improve enterprise readiness and cost efficiency.

The Data Engineer will analyze large datasets, build dashboards, optimize SQL queries, and support data infrastructure using various tools and technologies.

The Data Analyst will develop Tableau dashboards, support analytics needs, optimize datasets with Databricks, and collaborate with stakeholders to ensure effective visual analytics.

The Data Analyst will engage in preparing and understanding data for predictive modeling, collaborate with cross-functional teams, create datasets, and manage data assets with an aim to innovate and drive productivity.

As a Software Engineer on the Semantic Data Modeling team, you'll develop data models, collaborate on data transformations, and improve data standardization and schema enforcement.

The Junior Data Scientist will design and develop data models using Machine Learning and Analytics for trading and compliance in finance.

The Senior Data Scientist will optimize marketing performance through algorithms and measurement strategies, collaborating with teams to impact business outcomes using data-driven insights.

The GTM Data Manager oversees data integration, quality assurance, and analysis to support revenue operations and strategic GTM planning.

Design and build scalable backend services for a trading platform, focusing on data ingestion, processing pipelines, and APIs while ensuring system reliability and integrating with various teams.

The Senior Data Analyst will enable strategic decision-making through data analysis, reporting, and collaboration with stakeholders to ensure high-quality data integrity.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

The Data Analyst will transform complex production and payroll data into actionable insights, working with various teams to define metrics, track performance, and enhance data quality while fostering independent data exploration across the organization.

The Data Analyst will develop reports, analyze data, and present insights to support business functions, collaborating with stakeholders to gather requirements and ensure effective decision-making.

The candidate will design and deploy forecasting models, handle large-scale data processing, and work with stakeholders to enhance demand planning analytics.

Responsible for transforming complex data into actionable insights, building dashboards, and applying statistical rigor to financial planning while collaborating with Finance teams.

Analyze player behavior and drive product innovation through data-driven insights. Collaborate with teams to design and evaluate experiments, maintaining data quality and delivering meaningful insights.

The Product Manager for Imogen Data will define product vision, collaborate with engineering, prioritize investments based on user needs, and present to stakeholders.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

The Senior Software Engineer will design and build scalable data and ML platforms, ensuring high-quality data flow while improving system efficiency and supporting internal teams.

The Senior Data Engineer will design, build, and maintain data pipelines and ETL processes to enable analytics and debugging for robotics operations. The role involves collaboration across teams to ensure high-quality data capture and transformation.

The Data Engineer will design and deliver scalable streaming data pipelines, mentor team members, ensure data governance, and implement technical excellence in real-time data solutions, fostering collaboration across teams.