Top Data Jobs in Ottawa

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

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.

Collect, clean, and analyze product data to generate reports and dashboards (KPIs: engagement, retention, adoption). Provide exploratory analyses, visualizations, and actionable insights to product teams, ensuring data integrity and supporting product decisions.

Lead the delivery of finance data models and reporting solutions, ensuring reliability and compliance with audit requirements while influencing cross-functional teams.

Support and maintain engineering change data across systems (DRMIS, IPESA, JIRA, SharePoint). Perform data entry, validation, quality audits, reporting, and documentation. Collaborate with teams, support tool onboarding, troubleshoot data issues, and ensure compliance with data governance and security requirements.

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

The Senior Data Analyst will enable strategic decision-making through data analysis, reporting, and collaboration with stakeholders to ensure high-quality data integrity.

The Data Researcher will research and validate data on Web3 projects, ensuring accuracy and quality while improving workflows and collaborating with teams.

Design, build, and maintain data pipelines and reporting solutions (Metabase) to ensure accurate, optimized datasets and user-friendly dashboards for analytics and decision-making.

Design and build data architectures, oversee ETL/ELT pipelines, collaborate with stakeholders to optimize data usage, and implement data quality frameworks.

Lead Data Scientist responsible for driving measurable outcomes through experiments, data analysis, and creating metrics to track performance. Collaborate with engineering for productionizing models and enhancing recommendation systems using AI technologies.

As a Senior Product Data Analyst, you will provide strategic data insights to the Product team, supporting decision-making through data analysis and fostering data literacy.

Design and manage distributed data systems for processing and transforming datasets for AI model training, ensuring data quality and scalability.

The Sr. Data Analyst will support the Customer Success leadership team through reporting, analytics, and process design to drive business growth and operational efficiency.

The Data Analyst for Risk will analyze and report on fraud and risk data, develop insights, build dashboards with Looker, and improve risk processes.

Join VAST Data as a Senior Software Engineer to design and implement backend components for a scalable, AI-native vector database, focusing on low-level systems programming and distributed computing.

As a Software Engineer on Glean's Data Foundations team, you'll build and scale data ingestion connectors, transforming unstructured content into structured data while ensuring system reliability and security throughout the data processing pipeline.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

Lead strategic data modernization for financial services clients, defining architecture and implementation plans while guiding teams and advising executives on data strategy.

The Principal Data Architect will design and evolve enterprise data architecture to support business growth and AI integration, ensuring a secure and efficient data ecosystem while collaborating with various teams to enhance data quality and governance.

The Director of Data Strategy will develop and execute a data strategy, ensuring data quality and governance across the organization, fostering collaboration among various departments for improved analytics and business outcomes.

Develop, validate, and deploy supervised and unsupervised machine learning models; transform and analyze large structured and unstructured datasets using Python, SQL and BI tools; apply OCR and NLP techniques; maintain source control and MLOps processes; present findings via dashboards and reports to technical and nontechnical stakeholders.

The Manager of Financial Data, Planning & Analytics oversees financial planning and analysis, modernizes financial systems, and drives automation in reporting and forecasting, while acting as a strategic partner to leadership.

The Senior Data Analyst will analyze gameplay data and A/B tests, build dashboards in Tableau, and collaborate with teams to drive product strategy and improvements.

As a Staff Data Engineer, you'll design, develop, and maintain data systems, tackle data challenges, lead projects, and mentor engineers, driving innovation and data integrity at NerdWallet.