Top Data Jobs in Ottawa

In this role, you will define and execute the go-to-market strategy, drive growth, and lead customer success efforts at Reflow, a workplace intelligence platform.

As a Product Manager at Reflow, you will lead product strategy, execution, and delivery while ensuring customer engagement and managing engineering dependencies in an early-stage startup environment.

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.

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.

As a Senior Business Analyst, you will oversee data migration to Microsoft Fabric, ensuring functional requirements, ETL mappings, and user acceptance testing align with enterprise needs.

Lead the PoC data science team, delivering POCs for enterprise clients, mentoring team members, and driving fraud analytics and ML solutions.

The Data Engineer will analyze and interpret data to drive insights, create dashboards, and enhance product performance, collaborating with cross-functional teams.

As a Data Analyst, you will analyze user behavior and product performance, creating reports and dashboards to aid decision-making and optimize user experience.

As a Data Engineer, you'll develop storage infrastructure, collaborate with teams, implement data systems, and contribute to product strategy. You'll work with advanced AI systems and process production-grade data.

The Strategic Customer Representative drives growth within data centre construction sectors, manages client relationships, and coordinates projects with multiple stakeholders.

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

Design and implement optimization and ML models for network design, inventory positioning, forecasting, and transportation. Clean and transform large datasets, deploy production-ready analytical solutions (Python/R), build dashboards, and collaborate across procurement, planning, engineering, operations, and logistics to improve cost, service, and sustainability.

Use client data to build predictive models, segmentation, and CLV/churn solutions. Prepare and clean large datasets, implement MLOps pipelines, deploy and monitor models, and communicate insights to stakeholders to drive claims-related business decisions and personalization.

Own Growth analytics end-to-end: build and maintain production data pipelines and dbt models, define north-star metrics and dashboards, design and run A/B experiments using causal inference, embed LLM/GenAI tooling, and translate insights into strategic recommendations for leadership.

Own product analytics end-to-end: build production-grade pipelines and dbt models, define north-star metrics, design and run A/B experiments with causal inference, embed LLM/GenAI tooling, create dashboards and metric frameworks, and translate results into strategic recommendations for leadership.

Lead Life360's Data Engineering organization and own end-to-end data platform and analytics engineering strategy. Define architecture for ingestion, transformation, modeling, and serving data for humans and LLMs. Manage engineering managers and teams, drive self-serve data capabilities, cost management, vendor decisions, data quality/governance, and partner cross-functionally to prioritize engineering work that drives business impact.

Design, build, and maintain BI dashboards and reports; write advanced SQL to extract and validate data; recommend KPIs; manage reporting projects; partner with Product/Revenue/Operations; own BI reporting cycles and adopt AI/LLM tools to accelerate analysis and automation.

The Data Editor will research, edit, and ensure quality metadata for TV and movie content, ensuring accuracy and adherence to standards.

The Data & Deployment Engineer coordinates EMS software and data pipeline deployment, manages CI/CD processes, and supports integration between data and hardware teams, ensuring project success.

Develop and support features of the DataRobot GenAI platform, focusing on unstructured data connectivity and processing, while driving key projects and milestones.

As a Product Manager at Orium, you'll strategize, plan, and deliver commerce initiatives, guiding clients and managing product vision and requirements in a fast-paced environment.

Design and maintain data systems for business-critical insights, connect data across platforms, build ETLs, and support business data decisions.

The role involves designing and maintaining interactive dashboards, optimizing data models, writing SQL queries, and conducting analytical deep dives to support revenue operations.

The Senior Geo Data Scientist will develop advanced machine learning models for geospatial data, build scalable data pipelines, and enhance model performance for mineral exploration.

As a Senior Data Analyst, you will lead analytics initiatives, drive business performance, create actionable insights, and mentor other analysts while redesigning reporting capabilities for debit products.