Top Data Analyst Jobs in Ottawa

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

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

The Functional Analyst - Data will manage data extraction, validation, and organization from legacy HR systems, ensuring the integrity of archived data and documenting functional requirements while collaborating with technical 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.

Perform spatial data compilation, cleaning, mapping, and statistical analysis to support renewable energy siting and impact evaluation. Produce visualizations, written briefs, and technical materials; coordinate with regional teams; support indicator development, monitoring, and rapid research synthesis to inform clean energy transition strategies.

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

The Data Analyst will build key data models and metrics for decision-making, partner with stakeholders for analytical insights, create datasets for self-service reporting, and ensure data reliability through quality checks.

The Product Data Analyst will analyze operational data, develop analytics frameworks, create dashboards in Tableau, ensure data integrity, and collaborate across teams to enhance decision-making and reporting.

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.

The Business Data Analyst will manage customer relationships, maintain data integrity, write SQL queries, and support data analysis and troubleshooting for business needs.

The Data Analyst will analyze complex data to provide insights for Finance and Operations, build dashboards using Looker, and optimize data quality.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

As a Data Analyst, Product at Kraken, you'll transform complex product data into actionable insights, manage data solutions, and support decision-making in a remote environment, focusing on user experience and growth.

The Data Analyst Intern will migrate dashboards from various platforms to Hex, perform data validation, conduct analyses for insights, and communicate findings across teams.

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

As a Forward Deployed Data Analyst, you will configure and implement data systems for clients, ensuring their analytics are accurate and actionable. You'll work with teams to refine metrics and improve data processes, ensuring value from day one.

The MDM Data Analyst will translate business needs into data requirements, document governance rules, and ensure high-quality master data management across enterprise systems.

Audit and ensure quality of data labeling work for ML using human-in-the-loop processes. Provide feedback, train and support annotators, monitor workflows, identify recurring issues, and help improve guidelines and processes.

Audit and review data labeling outputs, provide actionable feedback, train and support labeling teams, monitor workflows, identify recurring issues and edge cases, participate in calibrations and stakeholder syncs, and help improve guidelines and processes in human-in-the-loop AI workflows.

Audit and ensure quality of labeled data by reviewing DLA outputs, providing feedback and coaching, supporting onboarding and training, monitoring workflows, identifying recurring issues and edge cases, and contributing to guideline and process improvements in human-in-the-loop AI workflows.

Audit and improve data labeling quality in human-in-the-loop ML workflows. Coach and onboard labelers, provide actionable feedback, monitor queues, identify recurring issues, and help refine guidelines and processes.

Audit and ensure quality of data labeling outputs, coach and onboard annotators, apply and refine guidelines, monitor workflows and escalate issues, document findings, and support human-in-the-loop AI evaluation processes.