Top Data Jobs in Toronto
Lead Data Management Consultant proficient in Python scripting, responsible for driving discussions on use case development, scripting automation, consulting, and influencing product development on the Workiva Platform. Provide implementation services, share knowledge, and create documentation and analytics for data management solutions.
Seeking a Lead Data Analyst with 8+ years of experience in data analysis and visualization of large data sets. Responsibilities include analyzing data from search engine marketing campaigns, developing analytical dashboards, training junior analysts, and staying up-to-date with industry trends. Requires expertise in SQL, Python, data visualization tools, and statistical techniques.
Director of Engineering - Data Management & Platform responsible for shaping Toast's data strategy, collaborating with stakeholders, ensuring seamless access to data, implementing data strategy, and leading a team of engineers. Requires expertise in distributed computing, cloud computing, data lakes, and data management.
.png)
Square is seeking a Business Intelligence Analyst to provide data insights around customer satisfaction, team happiness, and operational efficiency. Responsibilities include leading experimentation initiatives, developing automation solutions, and driving strategic decisions based on data.
Senior Data Engineer role at Cash App within the Cash Data Science - Data Engineering & Empowerment Team. Responsibilities include data procurement, processing, and curation, working with various stakeholders, writing code in Python and SQL, maintaining AWS cloud platform, mentoring team members, and participating in support rotations. Looking for a professional with 5+ years of industry experience in data, analytics, and AI/ML, proficient in data concepts and technologies such as Python, Spark, SQL, AWS, Terraform, Databricks, Airflow, Snowflake, Postgres, and experienced with CI/CD, cloud infrastructure, distributed data processing, and Agile methodologies.
The Staff Data Scientist, Dashboard Analytics at Square will work on optimizing growth and engagement across the Square ecosystem by conducting experiments, distilling data into insights, and influencing decisions with actionable recommendations. Responsibilities include data-driven decision-making, building foundational metrics, implementing product event logs, and communicating analysis to high-level partners.
The Data Engineer will work closely with various departments to meet data requirements for analysis and modeling. They will be responsible for developing and maintaining data pipelines related to production processes, part data, and sustainability efforts within the company.
The Senior Data Analyst will work in the Cash App Compliance Analytics team to deliver actionable analytics, quantify compliance risks, and drive efficiency. They will collaborate with various teams to build databases, design dashboards, define metrics, and communicate insights to drive strategic decisions.
Featured Jobs
The Senior Data Scientist will work in the Cash App Support organization, analyzing large datasets to derive actionable insights and improve customer experience. Responsibilities include partnering with customer support team, conducting statistical modeling, designing A/B experiments, and communicating findings to stakeholders. Requires a bachelor's degree in statistics or related field with 5+ years of experience, proficiency in SQL and data visualization tools, and experience with scripting languages like Python or R.
As a Data Engineer at Movable Ink, you will be responsible for modeling ingested data, implementing data pipelines, creating data products, and collaborating with various teams to drive data-driven decisions. The company specializes in content personalization through data and AI decisioning.
Lead data projects, apply advanced data science techniques, develop strategies for statistical analysis and AI tools, support ML and AI initiatives, interface with senior management, and supervise indirect hires.
Seeking a Senior Manager to lead Business Intelligence Center of Excellence (BI CoE) and drive the implementation of a Data Marketplace. Responsibilities include overseeing BI CoE, implementing Data Marketplace, metadata management, Data Mesh architecture, and enhancing internal capabilities in process mining. Promoting data literacy, fostering collaboration, and aligning data strategies with organizational goals are key aspects of the role.
Join Square's Risk Data team as a Senior Data Scientist focusing on identifying and preventing fraud & credit risks. Lead experimentations, develop data pipelines, and collaborate with various teams to influence Square's global Risk roadmap.
As a Senior Associate, Data Analyst at Capital One Canada, you will work on building, automating, and maintaining critical business reporting using cutting-edge tools, writing SQL queries, collaborating with business partners to drive data-driven strategies, designing data visualizations, ensuring data integrity, and more. You should be curious, innovative, and constantly exploring new tools and technologies.
Looking for a business savvy Enterprise Data Architect to interpret and deliver strategic plans improving data integration, data quality, and data delivery in support of business initiatives. Collaborate with the Data, AI and Analytics team on data management and governance, solution architecture for data projects, and implementation of risk and controls. Provide direction for data architecture best practices and lead technical transformations for the organization's extended value chain.
As a Senior Data Scientist at Cash App, you will analyze large datasets, apply statistical modeling techniques, design and analyze experiments, build metrics, and communicate insights to stakeholders. You will work on the peer-to-peer lending product and collaborate with cross-functional teams to improve customer experience.
Seeking a Data Operations Manager with 3-5+ years of experience in Data Operations, Data Analytics, or similar customer-focused data-centric background. Must have 1-2+ years of management experience and be proficient in Excel and Google Sheets. Responsibilities include overseeing data collection, processing, analysis, team management, and collaboration with other departments for data insights.
As a Principal Data Engineer at Movable Ink, you will be responsible for owning the infrastructure and code for ETL processes within the Data Platform. You will design, implement, and optimize ingestion pipelines to enable seamless data extraction and loading from various sources. The role involves partnering with internal teams, ensuring data accuracy, maintaining ETL pipelines, and enforcing data security policies.
Develop and implement enterprise-wide data governance strategy, lead cross-functional teams to drive consistency and alignment across business units, oversee data quality and security management, ensure compliance with data protection regulations, and mitigate data-related risks.
.jpg)
Seeking a Senior Data Scientist to join the Intelligence team at Braze, focusing on ML and AI enhanced marketing solutions to improve customer engagement at scale. Responsibilities include collaborating with Product Managers and Engineers, analyzing data points, and building and iterating on predictive models.
Designs, analyzes, and models organizational and third-party data to provide business insights. Provides reporting and analytics services, adheres to data standards, and presents findings to audiences. Partners with analytical teams, builds dashboards, and responds to data requests. Requires Bachelor's degree and four years of related experience.
Join Square as a Senior Data Engineer on the Marketing Data Engineering team. Responsible for building and maintaining data infrastructure to drive revenue growth and accelerate seller acquisition. Work on end-to-end data flow for Marketing public web event data, design and maintain data pipelines, analyze new data sources, and assist in interpreting data trends.
As a Marketing Data Scientist at Cash App, you will optimize marketing efforts, analyze A/B experiments, and partner with the Marketing team to drive business impact. Responsibilities include building models, analyzing large datasets, and communicating insights to stakeholders. Required skills include SQL, Python, data visualization tools, and experience with Causal Inference techniques.
The Data Analyst position at Capco involves working with the data architect and other planners to assess current capabilities, assisting in defining data management strategy and data architecture, conducting complex data analysis, proposing data management solutions, collaborating with various stakeholders to define data quality requirements, and conducting data profiling activities.
Morningstar DBRS is seeking a Data Content Researcher to join the Credit Operations Team in either Toronto or Chicago. The role involves gathering and interpreting data requirements, performing research and analysis, and loading data into Tableau from various sources. Responsibilities include data analysis, developing insights, automating reports, and mentoring team members. Qualifications include 2+ years' experience as a senior data analyst, proficiency in SQL and Tableau, database management skills, and a bachelor's degree in engineering, computer science, finance, or related field.
Top Toronto Companies Hiring Data Roles
See All
_0.png)
.png)
All Filters
No Results
No Results
