Top Data Jobs in Calgary

The Senior Data Scientist will analyze large datasets to provide insights for the peer-to-peer transfers product. This role involves statistical modeling, A/B testing, data processing, and effective communication with cross-functional partners to drive business strategies.

As a Senior Data Scientist at Cash App, you will enhance marketing efforts by analyzing large datasets, optimizing spend, and measuring campaign effectiveness through statistical modeling and experiments. You will collaborate with marketing and product teams to deliver actionable insights and manage data visualization projects.

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 & Analytics Engagement Lead, you'll develop data strategies and manage data integration across sales and ERP systems like SAP and Salesforce. Your role involves collaborating with business and data owners to define reporting requirements, design data models, and support self-service reporting initiatives. You'll play a crucial part in data-driven decision-making within the organization and engage in data architecture to ensure reporting needs are met.

The Sr Data Scientist will build enterprise-scale, cloud-native AI systems, design AI/ML models, and contribute to the entire data science process. Responsibilities include developing strategies, collaborating with peers, conducting model research, and ensuring the quality of data models.

The Data Analyst role involves understanding and improving Fulfillment Quality by analyzing operational performance data, diagnosing quality gaps, and providing data-driven recommendations. The analyst will support cross-functional teams, build dashboards for problem diagnosis, and improve metrics related to retailer-level fulfillment.

The Senior Data Analyst will focus on revenue analytics to support customer retention and growth. Responsibilities include deriving insights, defining KPIs, facilitating quick decision-making through data analysis, executing A/B experiments, and mentoring junior analysts.

The Data Ingestion Lead will oversee data acquisition, ingestion, and transformation processes in the Global Pet Nutrition division. Responsibilities include optimizing data workflows, ensuring data quality and reliability, implementing compliance checks, and collaborating with various teams to enhance data capabilities.