Top Analyst Jobs in Ottawa

Support Americas revenue operations by analyzing commercial performance, payment economics, and merchant transaction data; build pricing models, competitive/market analyses, and leadership presentations to drive revenue growth and optimize margins.

Audit and improve human and model-generated data outputs for accuracy, consistency, and policy compliance. Provide actionable feedback, clarify evolving guidelines, support annotators, coach new team members, monitor workflows and blockers, identify recurring issues and edge cases, participate in calibration discussions, and document findings to improve team performance and quality at scale.

Develop and document functional requirements, database schemas, and system designs for aeronautical map-display systems. Produce cartographic and GIS products, metadata compliant with ISO 19115, prototypes, production workflows, and technical documentation. Integrate diverse geospatial data sources, maintain symbology libraries and specifications, and provide technical support to internal teams and external stakeholders.

Support mapping and analysis of a Military Personnel Management System capability: document As-Is/To-Be processes, elicit and trace business, functional, system, and data requirements, develop acceptance criteria, assess process redesign opportunities, analyze solution options, and contribute to governance, data artefacts, and integration deliverables to support MPMS modernization planning.

Lead mapping of a Military Personnel Management System capability by documenting As-Is/To-Be processes, data entities, integrations, and requirements; develop data dictionaries and conceptual models; support requirements elicitation, solution assessment, governance, and deliverables for MPMS modernization.

Coordinate Sales, Finance, and Legal approvals; resolve Salesforce queues and case-management issues; create private offers in AWS, Azure, and GCP marketplaces; audit SaaS contract documentation; and monitor the sales pipeline to remove bottlenecks and accelerate deal completion.

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 Organic Growth Analyst will support SEO and content strategies for B2B SaaS clients, conduct analyses, and help track performance.

Provide front-line, multi-channel client support and manage full lifecycle inquiries; assist onboarding and API integrations; test application/APIs, create user and API documentation, and lead process improvement and automation efforts while working cross-functionally.

Serve as a strategic FP&A partner owning planning, forecasting, budgeting, and performance management. Build models, deliver executive dashboards, analyze margin and spend trends, support pricing/contract decisions, lead financial reviews, and drive cross-functional initiatives to optimize profitability and working capital.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

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.

Partner with multinational clients to gather requirements, define KPIs, develop business cases, and oversee GRAVTY® loyalty program implementations. Provide product expertise, deliver client training, manage project documentation and SLAs, collaborate with product management on features, and create product marketing collaterals to support go-to-market strategies.

As a Product Analyst, you'll analyze product and user data, benchmark competitors, develop performance reports, and collaborate on product improvements through data-driven insights.

As a Financial Analyst, you'll support financial processes, assist with reporting, manage accounting records, and collaborate with cross-functional teams to inform decision-making.

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

The Product Analyst will analyze product data to identify trends, enhance user experience, and collaborate with teams to improve product features.

The Customer Engagement Analyst role involves configuring the unitQ platform, conducting analyses, building customer-facing artifacts, and collaborating with teams to address customer needs.

Lead SAP EWM outbound process design and implementation: gather requirements, identify gaps, produce functional RICEFW designs, run workshops, prepare training documentation, and support end-to-end SAP S/4HANA EWM deployments. Prioritize candidates with food manufacturing experience and bilingual (English/French) skills.

Lead requirements-gathering, analyze and document processes, develop business cases, create specifications, and support IT solutions while ensuring stakeholder alignment.

The Analyst supports template configuration, documentation, testing, and deployment activities. They assist in maintaining data accuracy and follow established standards, while learning ERP processes and enterprise application fundamentals.

Provide bilingual (English/French) Level 1 IT service desk support via phone, email, and remote tools. Record incidents in ITSM, diagnose desktop, email, Microsoft Office and business app issues, support mobile and conferencing devices, escalate complex problems, and maintain high customer satisfaction.

The M&A professional will support acquisition strategies by conducting research, meeting prospects, analyzing deals, and managing diligence throughout the acquisition lifecycle.

Perform circuit and functional analysis of wireless, memory, and System on Chip devices, utilizing CAD tools for device identification and circuit extraction.

Support project cost estimating and analysis across sales and project budgeting phases. Gather costing inputs, review scopes, run cost-model scenarios, present estimates, compare actuals to estimates, identify root causes, and recommend continuous improvement opportunities in processes and tools.