Top Analytics Jobs in Ottawa

Lead data engineering and analytics initiatives, mentor team members, ensure data governance, and enhance financial operations through scalable data solutions.

The Quantitative Analytics Manager will optimize Affirm's loan portfolio, develop AI-driven models, implement pricing strategies, and collaborate on financial initiatives.

The Senior Analytics Engineer designs efficient data models, develops user-facing data products, optimizes BI layers, ensures data quality, and collaborates with stakeholders to meet business needs.

The Data Analytics Developer will design and maintain data pipelines, ensure data quality, and collaborate with cross-functional teams to drive decision-making processes through analytics.

Lead and scale a multidisciplinary data team, overseeing the data lifecycle, implementing best practices, and collaborating across functions to drive data-driven decisions.

The role involves managing analytics workflows, leading metric reviews, promoting data-driven culture, and formulating experiments to improve user engagement and profitability.

Seeking a Data Engineer with expertise in database design, AWS services, and data analysis to help solve business challenges.

As a Senior Data Analytics Engineer, you'll develop data models, manage the data platform, mentor juniors, and ensure data quality for decision making.

As a GTM Analytics Engineer, you will enhance data infrastructure, build SSOT models, and optimize data pipelines to support analytics and business decisions.

The Senior Manager will lead data analytics and operations for revenue, optimizing strategies across sales, marketing, and finance. They'll develop insights and forecasts to inform decision-making and improve efficiency, while mentoring a team and driving AI initiatives.

As a Senior Data Scientist at Discord, you will lead analytics to improve user experience through data insights, dashboard creation, and A/B testing.

The Data Quality Architect will assess and improve data quality processes, design scalable governance frameworks, and ensure compliance and data integrity.

Lead the implementation of data quality solutions, define frameworks, and collaborate with stakeholders to enhance data governance in large scale projects.

The Head of Data and Analytics will create and manage a data strategy to support an integrated analytics function, ensuring data quality and accessibility while leading a team. This includes defining metrics, improving data governance, and delivering insights to executive leadership.

The Analytics Lead will build and optimize data analytics capabilities, lead a technical team, and collaborate closely with product teams to enhance data-driven solutions for greenhouse gas emissions tracking.

The Manager of Insurance Analytics leads a team to develop analytics frameworks for insurance decisions, ensuring accurate reporting and innovative data use to drive business goals.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

As a Senior Analytics Lead, you will drive data-informed decisions for clients, conducting research, analyzing metrics, and mentoring team members to improve strategies and outcomes.

The role involves revenue forecasting, performance tracking, sales analysis, competitive monitoring, and collaborating with cross-functional teams for Zynga's games.

As a Growth Engineer, you'll analyze customer behavior, build automated systems to predict user actions, and drive product strategies using data insights.

The Sr Data Analyst will leverage SQL and Snowflake to analyze data, collaborate with teams, and drive insights in P&C Insurance.

As an Analytics Lead, you will drive data-informed strategies for clients by conducting research, collaborating with teams, and mentoring junior members.

The Senior Analyst will enhance fraud controls in payments through data analysis, risk performance monitoring, and collaboration with various teams to mitigate fraud threats.

The Senior Analyst will leverage workforce data to provide insights across the employee lifecycle, facilitate data-driven business decisions, and maintain business intelligence tools.

Lead analytics initiatives across the organization, create data models and dashboards, and support decision-making in Sales and Revenue Operations.