Top Data Jobs in Calgary

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

Contributors record authentic first-person video of household tasks, hands-on work, and everyday activities using a phone mounted to a headstrap. They choose their own schedule, preferably recording at least 10 hours weekly, then upload footage through Perle’s app for review and payment. Contributors must be at least 18, reside in the United States, Canada, or Latin America, have a supported smartphone, and be comfortable wearing a headstrap.

Analyze microbiome and longitudinal clinical datasets, develop microbiome metrics and biomarkers using statistics and machine learning, create visualizations and reports, draft clinical research documents, support product and study development, and contribute to scientific publications and proposals.

The Lead Engineer for BI will design data solutions, lead project teams, mentor, and drive BI strategy aligning with business needs.

Design and maintain data warehouse systems, develop ETL pipelines, manage datasets for analytics, and implement real-time data solutions.

The Data Scientist will design algorithms for insights, structure data, collaborate with machine learning engineers, and analyze datasets to improve workflow automation and product value.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

The Data Analyst will build key data models and metrics for decision-making, partner with stakeholders for analytical insights, create datasets for self-service reporting, and ensure data reliability through quality checks.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Lead a team in developing scalable data solutions, mentor engineers, manage expectations, and contribute to code. Focus on high-quality software practices.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

Lead enterprise Data & AI transformation initiatives, managing the delivery of cloud-based analytics platforms while aligning business and technology objectives. Responsibilities include program governance, stakeholder management, and overseeing implementations of Microsoft Fabric.

The Director of Data Strategy will develop and execute a data strategy, ensuring data quality and governance across the organization, fostering collaboration among various departments for improved analytics and business outcomes.

Perform Sage Intacct data migrations, ETL, validation, reconciliation, cleanup, integrations, customizations, workflows, and automations. Support ERP implementation projects, troubleshoot data and web-service issues, create reports and templates, and train customers on data management tools and best practices. Collaborate with clients and internal teams to solve data challenges, estimate project requirements, and integrate Sage Intacct with CRM, construction management, payroll, and other systems. The role is remote with travel up to 20%.

Analyze go-to-market performance across marketing, sales, revenue operations, and finance. Build reporting connecting campaigns to pipeline and revenue, investigate funnel and attribution questions, support budget analysis and planning, improve data quality, and communicate insights to technical and non-technical stakeholders. Collaborate with AI and Data Engineering teams on marketing data agents, architecture, and source tables.

Own and govern Capital Power's end-to-end forward price curve framework: design, build, validate, and maintain curves; manage curve intake, configuration in ZEMA/Allegro, daily production monitoring, IPV, model validation, and governance reporting to senior committees.

Build trusted relationships with municipal and provincial governments, community organizations, economic development partners, residents, and workforce groups around Canadian data centre projects. Develop market-specific engagement strategies, host public sessions, represent Anthropic at hearings and community events, monitor local sentiment, coordinate community investments, and advise infrastructure teams on risks and opportunities. The role also creates scalable community engagement processes and collaborates with communications, sustainability, energy, real estate, legal, and policy teams.

As an iOS engineer, you will improve a scanning engine for security analysis of iOS applications, develop tools for static and dynamic analysis, and contribute to security checks.

Take end-to-end ownership of backend features and SaaS services in a microservices architecture. Design, implement, deploy, and operate scalable, reliable Node.js services. Work with Redis Streams, MongoDB, Kubernetes, and ensure test coverage, performance tuning, and collaboration with cross-functional teams.

Own and drive the architecture and roadmap of ClickUp's data platform. Build scalable, reliable data pipelines and AI/ML infrastructure using AWS serverless, Snowflake, dbt, and Terraform. Lead cross-team technical initiatives, optimize cloud costs, establish engineering standards (observability, testing, CI/CD), mentor senior engineers, and influence org-wide architecture decisions.

Own go-to-market strategy and adoption for Stripe's data products. Develop positioning, messaging, competitive intelligence, launch plans, demand programs, and sales enablement. Translate customer and market insights into roadmap recommendations and measurable KPIs while partnering cross-functionally to drive commercialization and growth.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

Lead data architecture efforts: design relational and physical data models, develop and maintain ETL and reporting solutions, ensure data quality and governance, monitor data loads, support database performance and security, and translate business requirements into data designs.

Lead research and development of fuel detection and wildfire-risk models using satellite, LiDAR, and environmental data. Design validation, uncertainty quantification, and ground-truth strategies. Prototype ML approaches and partner with engineers to productionize models. Integrate fire science with data-driven methods, define scientific standards, communicate results, and mentor engineers.

Evaluate and label model-generated and human-written code outputs, debug and assess code/agent trajectories, prompt models for complex data science tasks, review visualizations, and report quality trends to improve model behavior.