Top Data Jobs in Toronto
As a Data Analyst at Capco, you will analyze complex data to support data management decisions, collaborate with architects and clients to define data quality requirements, and execute data profiling activities to enhance data quality.
The Marketing and Inside Sales Data Analyst will support data analysis and reporting needs, assist in integration of acquisitions, analyze promotion results, and develop strategies to optimize business performance. This role also involves producing datasets, targeted call lists for sales, and coordinating process improvement efforts.
The Senior Recruiting Data Visualization Analyst at Dropbox will develop and enhance data dashboards specifically for Recruiting. Responsibilities include partnering with stakeholders, answering business questions through data analysis, and improving self-service HR dashboards. The role demands strong analytical skills and the ability to communicate complex solutions effectively.
The Senior Data Analyst will drive data-informed decision-making across the Developers and App Marketplace Analytics team. Responsibilities include designing databases, building dashboards, writing complex SQL queries for data analysis, setting data quality management practices, and collaborating with various teams on project assessments and insights.
As a Senior Data Engineer, you will design and maintain data infrastructure for Square's Marketing team, focusing on web event data. Responsibilities include building data pipelines, translating requirements for ETL processes, analyzing data sources, monitoring pipeline performance, and improving data quality and efficiency. Your work will significantly influence business decisions and reporting accuracy.
Develop and improve big data models in Python to quantify the financial impact of climate-related events on real estate properties. Work with geospatial technologies and large datasets to forecast the effects of climate change on real estate. Collaborate with a dynamic team in a hybrid work environment in Toronto.
As a Data Engineer, you will help drive the direction of our Data Warehouse, implement and test data pipelines, document data lineage, create data products, and collaborate with Analysts and Engineers to build reports and dashboards, leveraging massive amounts of collected campaign data.
As a Principal Data Engineer at Movable Ink, you will lead the development of the Data Warehouse and manage data pipelines across various business systems, ensuring high performance and compliance with data regulations. Your role includes mentoring team members and optimizing data processing for seamless data access.
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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 Senior Data Scientist at Cash App will analyze large datasets using SQL and programming languages to provide actionable insights. Responsibilities include working on product analytics, designing A/B tests, collaborating with engineers on data logging, forecasting metrics for business strategies, and creating data visualizations and dashboards for stakeholders.
As a Data Analyst at Capital One, you'll analyze data to support decision-making processes, write SQL to clean and transform data, and utilize statistical modeling techniques to provide insights. You will help to personalize credit card offers and drive customer-focused innovations in financial services.
The Director of Business Data Governance will lead the establishment of master data management strategies at McCain Foods. Responsibilities include overseeing data accuracy, harmonizing processes across regions, and implementing cultural change within the organization to support data initiatives.
The Data Analytics Partner at Dropbox supports analytics projects focused on People, assists in data collection and storytelling through visualizations, ensures data accuracy, builds relationships with stakeholders, and uses statistical techniques to influence business outcomes.
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.
As a Data Engineer at Fluent, you will build and manage data products on the Databricks platform, focusing on creating robust data pipelines and ensuring quality and integration with machine learning models. Your role will involve collaborating with various teams to understand data requirements and keep up with emerging technologies in the Databricks ecosystem.
As a Sr. Data Engineer at Fluent, you will develop and manage scalable pipelines in the Databricks environment, focusing on high-impact data solutions. You'll work on integrating machine learning models and ensure data observability standards. Collaboration with data science and reporting teams is essential to translate requirements into effective data models.
The Senior Prognostics Data Engineer will design and deploy advanced signal processing methods for prognostics applications, lead failure mode analysis, analyze sensor data, develop health monitoring models, and optimize signal processing algorithms, collaborating with cross-functional teams and fostering continuous learning.
The Data Engineer will design and develop data integration pipelines using Azure Data Factory, implement ETL/ELT processes, leverage Azure Databricks for data processing, optimize data pipelines, collaborate with teams, troubleshoot issues, and participate in data governance and security.
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.
As a Senior Prognostics Data Engineer, you will conduct failure mode analysis, analyze sensor data, develop health monitoring models, and collaborate on predictive maintenance solutions to enhance automotive prognostics systems.
The Senior Prognostics Data Engineer will design and deploy advanced signal processing methods for prognostics applications, conduct failure mode analysis, analyze sensor data using statistical techniques, develop health monitoring models, and optimize algorithms while collaborating with cross-functional teams to deliver high-quality prognostics solutions.
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.
As a Senior Data Engineer, you will design, build, and maintain data collection systems, ensuring data quality and integrity. You'll manage data configurations, optimize collection methods, and implement process improvements while working with big data technologies. Strong programming skills in Python and experience in vehicle communication networks are required.
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