Top Data Jobs in Calgary

The Senior Data Scientist will analyze large datasets to generate insights, collaborate with the FinPlat team, design A/B tests, process data efficiently, create dashboards, and communicate findings to stakeholders. This role focuses on understanding customer behavior and improving product features.

The Data Scientist at Square Point of Sale will leverage statistical, machine learning, and data engineering techniques to inform decision-making for a unified point of sale product. Responsibilities include collaborating with cross-functional teams, applying diverse data techniques, communicating insights, and resource development for data access.

As a Senior Data Scientist, you'll own marketing holdout reviews, build models to optimize marketing ROI, design A/B experiments, analyze large datasets, influence marketing roadmap decisions, and create impactful data visualizations while collaborating with cross-functional teams to drive user acquisition efforts.

As a Senior Data Scientist at Cash App, you will analyze large datasets, provide actionable insights, design experiments, and work cross-functionally to improve customer experience and drive advertising growth. You will utilize SQL and scripting languages, build dashboards, and communicate findings to stakeholders.

As a Senior Data Modeller II at Tempus, you will manage enterprise data models, collaborate with teams to integrate clinical data, and implement solutions for data transformation and quality monitoring. Your expertise will guide data modeling practices and ensure standards across multiple technologies.

The Land & Data Analyst Research Intern will support the Land & Leasing team by managing land and lease data. This includes conducting research on datasets, developing data transformation rules, performing quality testing, and troubleshooting technical issues. The role emphasizes collaboration with clients and data integrity.

The Manager of Data Analytics and Performance will lead the performance, data, and reporting programs for Enbridge's Power assets, managing a team of engineers and analysts. Responsibilities include overseeing equipment performance monitoring, executing data analytics strategy, managing asset reporting, and ensuring accurate reporting for business partners. Additionally, the role involves external engagement to stay aligned with industry trends.

The Staff Data Analyst - Product will provide advanced analytical support to optimize product development and improve user experiences. Responsibilities include leading product analytics initiatives, conducting performance and KPI analysis, collaborating on impact analysis, conducting A/B testing, customer segmentation, forecasting trends, and mentoring other data analysts.

As a Data Engineer at Clio, you will design and implement data pipelines and warehouses while ensuring data accessibility for partner teams. Your role involves using AWS technologies and tools for data ingestion, collaborating with engineers to uphold best practices, and developing prototypes for new projects. The focus is on creating exceptional data solutions in a fast-paced environment.

The Global Business Insight Analyst will coordinate financial data reconciliations and optimize financial processes globally. This role involves designing reconciliation processes, training stakeholders, and developing dashboards for leadership, while ensuring compliance with financial standards. The position requires strong communication skills in English and Spanish, data manipulation expertise, and the ability to engage with global finance teams to improve data quality and reliability.

The Intermediate Data Modeler will join Clio's Business Intelligence team, responsible for managing analytics infrastructure, developing data insights, and optimizing reporting solutions. The role involves collaboration with teams to create effective data models and best practices for data accessibility, driving analytics projects to enhance operational efficiency and aid in informed decision-making.

As a Senior Data Scientist, you will collaborate with product and business teams to identify growth opportunities, build predictive AI and ML solutions, and perform statistical analyses to impact decision-making. You'll ensure data governance and quality while enabling a data-driven culture within the organization.

The Director of Data Modeling will build scalable data models and governance frameworks at Clio, ensuring accurate customer data access for personalized interactions. Responsibilities include defining data strategy, establishing best practices in data governance, and collaborating with cross-functional teams. The role involves managing a data modeling team and contributing to data-driven decision-making across the organization.

As a Sr. Data Analyst, you'll lead analytics initiatives to optimize business processes and drive revenue growth. You will utilize data for actionable insights, build predictive models, develop dashboards, and collaborate with stakeholders to monitor KPIs, all while enhancing the data team's culture and processes.

As a Senior Data Analyst in Performance Marketing, you will analyze marketing operations, deliver actionable insights, build dashboards and predictive models, and engage with stakeholders to improve outcomes. You will lead projects and enhance data processes in a fast-growing environment.

The Scalability Analytics Lead will design and maintain data pipelines, dashboards, and self-service tools. This role supports the Commercial organization by enhancing operational efficiency and leveraging data insights to drive business decisions. Collaboration with various teams and integration of AI capabilities will be key responsibilities.

Responsible for advanced data analytics and predictive modeling for healthcare innovation. This role involves designing data models to predict member outcomes, conducting exploratory analysis, and developing algorithms. Collaboration with team members to present findings and improve health management programs is also key, alongside managing multiple projects and training Data Analysts.