Top Analytics Jobs in Ottawa

Design, build, and maintain data models and end-to-end pipelines (dbt, SQL). Ensure data quality, optimize queries, and collaborate with analysts to deliver consistent product analytics and dashboards.

As an Analytics Engineer, you'll manage the data stack, design database architecture, build data pipelines, and oversee reporting and data quality.

As a Senior Agentic AI Engineer, you will lead innovation in AI initiatives, from ideation to prototyping, collaborating with teams to deliver impactful solutions.

Lead a team of data analysts to improve product performance insights, establish experimentation practices, and enable self-service insights for the company.

Design and build scalable distributed ingestion services; maintain event pipelines and collaborate with multiple teams. Ensure system reliability and improve code practices.

Develop and implement advanced analytics models for assortment optimization and inventory management. Build predictive models and work with large datasets to improve efficiency. Collaborate with teams and communicate insights effectively.

As a Senior Financial Strategy & Analytics Analyst, you will automate financial reporting, build data models, support executive teams, and conduct econometric analysis to inform business strategy.

The Senior Analytics Engineer will lead the development and optimization of the data platform, implementing Medallion architecture and collaborating with cross-functional teams to create scalable data solutions.

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.

As a Machine Learning Engineer, you'll develop scalable ML solutions using Google Cloud Platform and Vertex AI, collaborate with teams, and operationalize models from ingestion to monitoring.

The Agentic AI Lead/Architect will define AI architecture on Azure, lead design of AI automation use cases, and mentor engineers.

Partner with Marketing stakeholders to frame questions, build and maintain Tableau dashboards, perform deep-dive analyses and predictive models, deliver actionable insights, and improve measurement frameworks to drive marketing performance and pipeline.

The Senior Analytics Engineer will develop scalable analytics solutions, optimize SQL queries, and recommend data improvements while collaborating with various stakeholders.

As a Senior Analytics Engineer, you will design data architectures, enforce data governance, and collaborate with Finance to ensure reliable financial reporting and analytics solutions.

Seeking an experienced Data Scientist to develop forecasting models, collaborate with business partners, and lead end-to-end model development using PySpark, Databricks, and Azure.

Partner with academic and research customers to drive adoption and value of Elsevier analytics and AI products (e.g., SciVal, Scopus). Provide consultative onboarding, training, change management, escalation support, and cross-functional guidance to embed solutions, support renewals, and enable customer success.

Develop scalable micro-services in Go, work with large datasets across various databases, and utilize data lakehouse and real-time analytics technologies for efficient data processing.

Lead the Retention Analytics team, providing actionable insights, driving retention strategies, forecasting performance, and managing a team of analysts to optimize customer retention.

Lead a team of analysts to drive revenue strategy and analytics by developing forecasting models, performance frameworks, and providing insights for revenue planning across various departments.

The Senior Product Analytics Lead will build data foundations for product decisions, analyze product impacts, define metrics, and collaborate with teams to enhance data-driven strategies.

The Monetization Analytics Manager will build data models and dashboards, analyze pricing metrics, support pricing strategies, and automate self-service tools for revenue optimization.

Design, build, and operate large-scale distributed batch and streaming data systems on AWS. Develop production-grade services, data pipelines (Spark/Hadoop/Airflow), microservices, IaC/CI-CD, and tooling; mentor peers and troubleshoot complex production issues to ensure reliability, scalability, and observability of Cloud Analytics platform.

Build and maintain analytics-ready data models and reporting tables, write and optimize complex SQL, create executive dashboards and KPIs, collaborate with stakeholders, apply engineering best practices to analytics code, and document data governance.

The Marketing Analytics Analyst will measure campaign performance, optimize marketing efficiency, and provide insights to improve customer acquisition, collaborating closely with marketing teams.

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.