Top Data Jobs in Calgary

As a Staff Data Scientist on the Dashboard Analytics team, you will leverage data engineering, business intelligence, and machine learning to drive data-driven decision-making and optimize seller experiences. You will collaborate with cross-functional teams, define key metrics, and communicate insights to inform strategic initiatives.

As a Data Scientist at Square, you'll utilize statistical and machine learning techniques to support decision-making for a unified point of sale product. Responsibilities include applying data analysis, machine learning, and collaborating with cross-functional teams to create strategic insights that drive business impact.

The Senior Data Scientist will analyze and provide insights into Babylist's fulfillment and operations by collaborating with various teams to improve supply chain processes and revenue generation through data-driven decision-making.

The Senior Data Analyst will focus on quantifying compliance risks and driving efficiency within the Cash App Compliance Analytics team. Responsibilities include creating data strategies, developing SQL and Python queries, building databases and dashboards, providing insights on compliance topics, and maintaining knowledge of Cash App products and compliance requirements.

The Head of International Credit and Data Science will lead the analytics team, developing risk models and credit policies to drive underwriting strategies and innovative product launches in Latin America and South East Asia. The role focuses on leveraging data to enhance business growth and improve customer financial health, while adapting solutions for diverse markets.

The Presales Data Principal will collaborate with clients to design technical solutions that address their data challenges, leveraging expertise in cloud technologies like Snowflake and Databricks. Responsibilities include crafting technical proposals, conducting workshops, and leading pre-sales processes to drive customer success and conversion of deals.

The Senior Data Engineer at Babylist will enhance data platforms for impactful decision-making, focusing on building and scaling ML pipelines. Responsibilities include collaborating with various teams to implement robust data engineering solutions and managing cloud data resources in AWS while maintaining a high standard of coding.

The Data Engineering Manager will enhance data engineering maturity at ZayZoon, responsible for data pipeline management, operational management, and team development. This role requires leading data engineering projects, ensuring stability in data processes, and building collaborative relationships across departments to support data-driven decision-making.

The Staff Data Engineer will design scalable data pipelines, optimize performance, and manage data governance while collaborating with architecture leadership. They will support BI development using tools like Looker and ensure alignment with business goals by validating requirements with stakeholders.

The Senior Data Engineer will design, develop, and maintain data products for Block, focusing on cloud infrastructure, ETL/data modeling, and collaboration with various stakeholders. The role requires coding in Python and SQL, maintaining an AWS cloud platform, and mentoring team members while handling complex data projects.

As a Data Engineer, you will create and manage data pipelines, collaborate with data scientists, and ensure data quality for ML operations. Your role includes transforming data, providing insights, and documenting model validation, while employing best practices in data management and engineering.

The Senior Data Science Specialist mines and analyzes large data sets using advanced algorithms to provide insights. They design predictive models, enhance data processing, and collaborate with teams to implement data-driven strategies that improve business decisions. This role requires expertise in various analytics tools, critical thinking, and effective communication skills.

The Senior Campaign Data Analyst will be responsible for Campaign Analytics supporting all Wealth businesses, including improving efficiency, generating revenue, and providing actionable insights to senior leadership. Key responsibilities include working on the Wealth Leads optimization project, automating processes, creating reporting infrastructure, and managing campaign performance measurement.

The Senior Data Engineer is responsible for ingesting, cleansing, transforming, and loading large datasets into cloud infrastructure. This role involves designing complex data systems, maintaining data standards, and automating processes while ensuring the reliability and stability of these systems. Additional responsibilities include documentation, vendor coordination, and providing consultative support to business needs.

The Senior Data Architect will work with cross-functional teams to define data requirements, technology stacks, and develop data architecture. Key responsibilities include establishing best practices, providing architecture governance, designing data solutions, and ensuring alignment with business needs and security requirements. The role involves hands-on development and strong client interaction.

The Senior Data Analyst will facilitate strategic growth by analyzing marketing campaign performance, improving KPIs, and collaborating with leaders across functions. The role involves tracking ROI, conducting data deep dives, and optimizing marketing processes to enhance operational efficiency and inform investment decisions.

Exadel is seeking a highly experienced Senior AWS Developer to design and implement complex Data applications using AWS services, Spring framework, Apache Camel, Kafka, and SQL. Responsibilities include developing Java-based applications, real-time data processing, data transformation logic, and staying updated with industry trends.