Top Data Jobs in Ottawa

The Sales Executive will drive new business development, manage client relationships, and execute the full sales cycle for CoStar Debt Solutions, focusing on commercial real estate lenders.

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 the Orchestration Services team, overseeing data management and engineering projects while fostering team development and collaboration. Drive technical decisions and multi-year roadmaps for new products.

The role involves designing architecture at an enterprise level, leading complex IT projects, and mentoring teams on technical solutions.

The role involves defining and executing the marketing strategy for Stripe's Tax and Data products, leading a team, communicating cross-functionally, and using data insights to drive growth.

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

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

The Data Analyst will support technology teams in a data migration and visualization project using Excel and Amazon QuickSight. Duties include reviewing requirements, preparing data sets, and refining visualizations.

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.

As a Data Analyst, you will analyze user behavior, create interactive dashboards, and collaborate with teams to provide actionable insights for product improvement.

Analyze user behavior and product performance, create reports and dashboards, and provide data-driven insights to teams for decision-making.

The Senior Director will lead AI transformation in procurement, creating research content, providing actionable insights, and mentoring team members. This role requires expertise in AI technologies, procurement processes, and collaborative engagement with clients and executive teams.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

Lead advanced analytics and experimentation, design A/B tests, develop predictive models, and mentor team members to improve product strategy and customer experience.

The Senior Director of Data, AI & Analytics leads market strategy and technical operations, driving growth and ensuring successful client integrations with Salesforce technologies. Responsibilities include shaping GTM strategies, overseeing industry accelerators, managing financial goals, mentoring staff, and ensuring operational excellence and innovation.

The Guidewire Data Engineer will design schemas in Snowflake, develop ETL processes, optimize SQL queries, and integrate Guidewire with data platforms.

Serve as a strategic analytics partner to Finance and Music Operations. Lead end-to-end analytics: data modeling, complex SQL, dashboarding in Sigma, data quality, and governance. Deliver executive insights on revenue, streams, royalties, and artist/catalog performance to drive data-informed decisions.

As a Staff Data Engineer, you will design and build large-scale data processing systems, ensuring data integrity and reliability while collaborating with cross-functional teams to influence architecture and technical roadmap.

Design, build, and maintain scalable data systems and pipelines; ensure SLOs and reliability; partner with Product, Sales Ops, and Finance to deliver analytics; support self-service tooling; contribute to data architecture, testing, and documentation.

Lead GTM and servicing analytics to build a Customer 360 view. Integrate marketing, sales, product, and servicing data to model journeys, measure campaign impact, build dashboards and data models, surface actionable insights to improve acquisition, onboarding, retention, and mentor junior analysts in SQL and best practices.

The role involves owning data science pipelines, delivering client-facing features, driving cross-functional collaboration, and leveraging AI tools to enhance workflows, ultimately transforming retail data into actionable insights.