Top Analyst Jobs in Ottawa

Lead business analysis for large-scale public sector IT implementations: elicit and document requirements, run design workshops, produce BRDs and RTMs, translate requirements to JIRA, plan and execute testing (UAT, integration, performance), coordinate defect triage, and deliver analytical reports and process improvements.

Produce provocative, research-driven insights and advisory for CFOs, develop thought leadership on finance transformation and AI, deliver client-facing presentations, support sales and peer review, mentor junior analysts, and drive research process improvements to influence finance strategy and market agendas.

The Senior Business Analyst collects, analyzes, and presents data to support business decision-making, reporting, and strategic planning within the organization.

As a Quality Assurance Analyst, you will ensure the quality of mobile and web applications through testing, bug reporting, and collaboration with cross-functional teams.

The Quality Assurance Analyst will ensure the quality of mobile and web applications through testing, issue identification, and collaboration with teams. Responsibilities include executing tests, documenting bugs, and improving QA processes.

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

The Financial Analyst will support financial reporting, accounting records, and bank transactions while collaborating with various teams to enhance financial processes and provide insights.

The Principal Biostatistician leads biomarker analysis for clinical studies, develops evaluation plans, conducts data analyses, mentors staff, and ensures accurate statistical deliverables while collaborating across teams.

Own marketing tracking and measurement across 14 markets, implement and audit GTM/GA4/pixels/server-side tracking, build automated Looker dashboards, run incrementality and A/B/geo-lift tests, define budget allocation frameworks, and set analytics standards and documentation to inform media spend decisions.

Support Grafana's AI organization by defining KPIs, designing experiments, guiding instrumentation, building dbt models, creating dashboards, and translating analytics into product recommendations to improve AI-powered features and workflows.

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 and build the Customer Experience analytics function, owning CX data strategy, BI, forecasting, capacity planning, operational analytics, and executive reporting. Translate large datasets into actionable insights, predictive models, and staffing forecasts, measure AI and human interactions, identify journey inefficiencies, and quantify CX impact on revenue while partnering with CX, Finance, and Data teams.

Own day-to-day technical operations for a flagship healthcare customer: monitor SLA performance, manage incidents and integrations, coordinate releases/patches, communicate with client stakeholders, and drive continuous improvement through telemetry and operational documentation.

Audit and ensure quality of data labeling outputs, coach and onboard Data Labeling Associates, provide actionable feedback, monitor workflows, identify patterns and edge cases, and help improve guidelines and processes in human-in-the-loop AI workflows.

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, enforce and improve guidelines, identify recurring issues and edge cases, escalate risks, and document feedback to support human-in-the-loop AI workflows.

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.

Design and run evaluation frameworks to assess third-party vendor data for fraud detection. Build lift analyses, backtests, and champion/challenger tests; profile vendor datasets for quality and coverage; collaborate with fraud, product, and data engineering to define ingestion and testing requirements; translate findings into actionable recommendations and maintain an internal knowledge base; support ad hoc analyses on fraud trends and model performance.

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 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.