Top Data Jobs in Ottawa

As a Senior Data Analyst, you will analyze marketing performance, implement multi-touch attribution, and provide insights for strategic decisions.

Lead the development and execution of platform strategy initiatives, focusing on M&A opportunities, pricing strategies, and cross-functional collaboration to enhance Autodesk's platform offerings.

The Container Optimization Marketing Manager will strategize and execute marketing initiatives to drive growth and pipeline for DoiT's Kubernetes solutions, ensuring competitive market positioning and measurable revenue impact.

The Data Engineer will build data solutions, develop ETL/ELT pipelines, implement data architecture, and deploy AI/ML models, collaborating with analysts and stakeholders.

Lead and optimize data collection, validation, storage and reporting activities. Ensure data quality and governance, implement process improvements, support new systems rollout, mentor junior staff, and maintain documentation and compliance with security and regulatory requirements.

Design and architect scalable file and object storage solutions. Lead workshops and POCs, collaborate with product management, and provide competitive insights.

The Senior Data Engineer will own and evolve data pipelines, collaborate with teams for data models and pipelines, optimize ETL processes, and implement data storage solutions.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

The Director of Data will lead the evolution of ZayZoon's data platform, managing a team while enhancing data governance and analytics to support business growth.

As a Data Engineer at LiveKit, you will manage the analytics infrastructure, develop scalable GCP-based data pipelines, and ensure effective data movement and transformation processes, while collaborating with the Analytics and engineering teams.

As a Senior Data Engineer, you'll design scalable data models, manage cloud pipelines using Google Cloud services, and optimize data architecture while collaborating with cross-functional teams.

Maintain and improve data processes for a MedTech market-intelligence product: review and extract insights from news, hunt new company/data sources, ensure high-quality recurring processes, use LLMs to extract key company/device information, and deliver on timelines for data tasks and projects.

As a Senior Software Engineer, you will own data framework integrations, contribute to high-performance database engineering, and enhance developer experience in JVM-based environments.

In this role, you will develop data pipelines, dashboards, and conduct A/B tests while providing insights for strategic decisions across teams.

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.

Designs and develops AI tools and machine-learning models, conducts research and testing, and integrates scalable solutions while translating complex data for executive stakeholders.

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

Analyze player behavior and drive product innovation through data-driven insights. Collaborate with teams to design and evaluate experiments, maintaining data quality and delivering meaningful insights.

Lead the migration of Oracle databases to AWS, ensuring minimal downtime and performance optimization. Responsibilities include database administration, schema conversion, and collaboration with various teams for smooth transitions.

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 Senior Data Scientist will develop models and analyses for risk and revenue decisions, collaborating with various teams to optimize funding for eCommerce.

The Staff AI Engineer will design, implement, and maintain machine learning algorithms and systems, integrating AI components into applications and collaborating with cross-functional teams using cloud technologies and DevOps principles.

Build and maintain backend services, APIs, and data platform components; contribute to ELT/ETL pipelines (real-time and batch), integrations with data providers, testing, and cross-functional engineering projects with high ownership.

The Senior Data Engineer will manage analytics platforms, optimize data governance, and ensure data quality while collaborating across teams to support data-driven decision making.

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.