Top Analyst Jobs in Ottawa

Own and maintain core financial datasets and dbt models; write complex SQL; build and optimize Looker dashboards; troubleshoot data quality; and deliver reconciled, actionable financial insights to Finance and Payments stakeholders.

The Conflicts Analyst/Attorney reviews new business for conflicts, communicates with attorneys, manages data analysis, and maintains records. Requires strong problem-solving and communication skills.

The Trade Finance Analyst manages trade expenditures, calculates TREX accruals, reconciles balance sheet accounts, supports TPM system implementation, and analyzes trade-related payments and invoices for the France market.

Provide commercial analytics, BI, forecasting, and operational support to Sales and Commercial leadership. Build and automate dashboards, analyze ERP/CRM and syndicated market data, produce forecasts and executive reporting, measure CRM and promotional ROI, and deliver competitive intelligence and data-driven recommendations to improve revenue and commercial execution.

Perform financial analysis and modeling to optimize supply chain costs (transportation, warehousing, inventory, supplier pricing). Produce forecasts, variance analysis, budgeting, and reporting; identify cost-saving opportunities and recommend operational improvements to leadership.

Lead requirements gathering and translate business needs into user stories and functional documentation for e-commerce and CPQ quoting workflows. Collaborate with Product, Engineering, QA, and Delivery to support integrations, backlog refinement, Agile ceremonies, and process improvements across distributed teams.

Lead marketing measurement: own attribution, incrementality testing, and media mix modeling. Design and analyze experiments, build repeatable templates and self-serve analytics, translate results into budget and growth recommendations, ensure data integrity, and embed AI tools into analysis workflows to measure pipeline and revenue impact.

Partner with GTM leaders to turn large datasets into actionable insight, build dashboards and forecasting models, analyze pipeline/retention/productivity, and implement automation and AI-enabled workflows to improve revenue performance and GTM operations.

Reconcile policy-level premiums, commissions, receivables, and other policy details between Arch and MGAs. Prepare exhibits summarizing reconciling differences, maintain policy-level detail, track and age differences, and collaborate with accountants, underwriters, IT, and MGAs to resolve discrepancies.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

Prepare and analyze monthly, quarterly, and annual financial reports; build models, forecasts, and budgets; track KPIs and revenue trends; perform variance and profitability analysis; support cash flow forecasting, strategic planning, and stakeholder presentations; recommend process improvements and collaborate with cross-functional teams in a remote environment.

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 FP&A Analyst will drive financial modeling, forecasting, and strategic analysis to support a high-growth fintech business, partnering with multiple teams and focusing on M&A activities.

Implement, deploy, and maintain CityView applications across customer environments (cloud and on‑premise). Perform installations, upgrades, monitoring, troubleshooting, database updates, and off‑hours support. Resolve customer tickets, escalate defects to Development, and contribute to automation, AI‑assisted knowledge management, and operational runbooks.

Lead marketing analytics: own reporting frameworks, dashboards, and data quality; monitor KPIs; run A/B tests and experiments; build attribution, forecasting, segmentation, and budget-allocation models; automate workflows and drive continuous measurement improvements.

Provide operational support for a client through data collection, cleansing, modeling, reporting and visualization. Build automated standardized reports and surveys, interpret results, and make data-driven recommendations to support sales and marketing objectives.

Research, evaluate, and manage partnerships with data providers. Assess datasets for coverage and interoperability, support deal structuring, maintain partnership pipeline, and collaborate with product, engineering, and legal to integrate data into the platform.

Drive go-to-market for automotive customers by researching strategic accounts, building ROI models and commercial proposals, tracking procurement and supplier ecosystems, analyzing competitors, creating executive materials, and supporting end-to-end business development efforts with AI-accelerated workflows.

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.

Audit and monitor data labeling outputs, provide actionable feedback, support onboarding and training of annotators, enforce and improve guidelines, escalate workflow issues, and document findings to maintain high-quality human-in-the-loop AI data processes.