Top Data Jobs in Ottawa

The Data Analytics and AI Architect will define and advance the organization's data and AI architecture, ensuring alignment with business strategy. Responsibilities include designing architectures, researching technologies, and managing compliance.

The role involves designing and implementing analytics strategies, managing tracking and reporting for ecommerce clients using GA4, GTM, SQL, and Python. The strategist collaborates with internal teams and clients, ensuring analytics support business decisions and measurement frameworks for omnichannel marketing.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.

The Enterprise Data Architect will design and lead AmeriLife's data architecture, creating scalable data models and data mapping standards for analytics and AI workloads.

The Lead Data Engineer will design and build scalable data pipelines on Databricks, develop ETL/ELT pipelines with PySpark, and mentor engineering teams for data transformation and analytics.

The Data Analyst will oversee data research projects, implement data reporting best practices, analyze marketing campaign effectiveness, and provide insights to drive growth for Canadian digital identity.

Lead and scale Google Marketing Platform capabilities while providing technical leadership, team development, commercial ownership, and fostering cross-functional collaboration to drive business growth.

Assist in data collection, organization, analysis, and reporting while collaborating with teams to develop insights and strategies.

As a Data Engineer, you will design database architecture, manage ETL/ELT pipelines, create financial reporting systems, and ensure data quality in collaboration with finance teams.

This role involves building and maintaining ETL pipelines to process customer data, optimizing integrations, and collaborating with teams to enhance data solutions for the grocery industry.

Design and implement ETLs to process large volumes of customer data, build tools for integration, and mentor team members to improve data handling and scalability.

As a Product Manager at Qohash, you'll lead the development of data-centric cybersecurity solutions, ensuring alignment with customer needs and strategic company goals. Your role includes managing the product lifecycle, collaborating with cross-functional teams, and leveraging AI tools for efficiency.

The Staff Data Engineer will lead the technical vision and architecture of data engineering, develop pipelines, and mentor junior engineers while working with cloud environments and various data tools.

The role involves designing data pipelines and models for Stripe's Growth and Marketing teams, ensuring data integrity and performance metrics. Collaboration with various teams to enhance data visibility and support is crucial.

The Senior Data Engineer at ClickUp will design and maintain cloud-native data infrastructure, develop data pipelines, automate deployments, and work with cross-functional teams to enhance data solutions while mentoring peers.

The Clinical Data Reviewer will work in the oncology field, ensuring data integrity for clinical trials and collaborating with teams to meet customer needs.

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, collaborate with teams, and uphold data governance at Mozilla.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

As a Data Scientist at Lighthouse, you'll develop and implement ML and AI techniques, influencing key product features and enhancing personalization for hotels globally.

Lead the design and scaling of Serve's robotics data infrastructure, managing the lifecycle of data and mentoring engineers to enable real-time analytics and operations.

As a Senior Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.

This role involves deploying solutions for clients, managing data compliance, and providing feedback for product improvement. Requires collaboration with teams and clients.

The role involves owning the complete data science lifecycle from analysis to model deployment, focusing on logistics-related predictive models and collaborating with an ML Engineer.

The Senior Product Data Analyst will analyze data to support product development, present insights, and drive data-driven decisions for marketing campaigns.