Top Analyst Jobs in Vancouver

Own fraud analytics for Remitly’s Global Card and Store of Value products. Build SQL pipelines, metrics, analytical frameworks, experiments, and recommendations that balance fraud losses, approval rates, customer friction, and growth. Partner with product, engineering, operations, program managers, and processing partners to design fraud controls, identify emerging risks, and influence roadmaps. Provide technical leadership through reviews, mentoring, onboarding, and adoption of AI-assisted analytical workflows.

Partners with R&D and engineering leaders on headcount, software, and AI vendor spend. Prepares financial reporting, supports month-end close, develops forecasts and KPIs, drives annual operating planning, and improves reporting models. The role also leverages AI tools to streamline finance workflows and presents analysis to senior leadership.

Monitor, investigate, and respond to security detections across endpoint, identity, email, network, and cloud environments. Analyze EDR telemetry, logs, forensic artifacts, malware, Microsoft 365 incidents, and network activity to determine compromise scope and recommend remediation. Communicate findings and response guidance to customers, improve detection and containment processes, and use scripting and AI technologies to support security operations.

Compensation Analyst II will manage annual and mid-year compensation cycles, conduct market and workforce analyses, support incentive compensation programs, maintain job architecture in Workday, and advise stakeholders on compensation structures. The role requires cross-functional project management, data storytelling, relationship management, and detailed execution across Technology and Business functions.

Manage Canadian compliance operations for RPAA and FINTRAC obligations. Review regulatory deliverables, maintain required records, track incidents and remediation, coordinate examinations and supervisory requests, prepare governance reporting, and program-manage payments and regulatory projects. The role partners across Legal, Compliance, Product, and global teams while supporting payment rail requirements and continuous process improvement.

Own end-to-end analytical problems across risk, fraud, growth, and lending products. Develop strategies, monitor portfolio and macroeconomic trends, build metrics and analytical frameworks with Engineering and Machine Learning teams, and influence product, regulatory, compliance, and launch decisions. Engage external partners, translate complex insights into action, create AI-assisted workflows, and mentor junior analysts.

Administers insurance applications, billing cycles, policy changes, and client service requests. Reviews applications and billing for accuracy, coordinates medical requirements and correspondence with underwriters, plan administrators, vendors, and members, and supports operational periods such as renewals and onboarding. The role also provides analyst coverage, shares knowledge, supports colleagues, and identifies process improvements while maintaining service levels and accuracy.

Analyzes complex datasets, develops statistical models and experiments, writes SQL and Python, and creates Power BI dashboards to deliver actionable business insights. The role supports reporting, data quality, workflow improvements, production troubleshooting, and data model enhancements while collaborating with engineers, analysts, and business stakeholders.

Provides financial insights, forecasts, performance analysis, and strategic recommendations to improve business decision-making and profitability. Partners cross-functionally with departments, delivers short- and long-term financial forecasts, and provides leadership with timely visibility into business performance. Requires finance, accounting, or business expertise, advanced Excel and financial modeling skills, and strong collaboration abilities.

Develop and improve statistical demand forecasting models using techniques such as ARIMA, SARIMA, and exponential smoothing. Analyze demand patterns, trends, and drivers; automate forecasting processes; improve forecast accuracy; and reduce manual intervention. Partner with demand planning, merchandising, and commercial teams to translate analytical outputs into actionable insights, balance model results with business context, and support inventory and in-season decisions. Mentor others and contribute to enterprise forecasting frameworks.

Supports broker-dealer and investment adviser compliance through employee trading and communications surveillance, compliance testing, regulatory filings, recordkeeping, customer due diligence, policy maintenance, training administration, risk assessments, and management reporting. The role is process-driven, offers training, and coordinates documentation and remediation activities with internal teams, counsel, and service providers.

Develop and improve statistical demand forecasting models, automate forecasting processes, enhance forecast accuracy, and translate analytical outputs into actionable insights. Partner with demand planning, merchandising, and commercial teams to balance model results with business context. Analyze complex datasets, communicate findings to non-technical stakeholders, support retail planning decisions, and mentor team members while contributing to enterprise forecasting frameworks and automation infrastructure.

Supports construction teams by administering PMIS and business systems, troubleshooting system and financial data issues, improving processes, maintaining project and user configurations, and developing documentation and training resources. The role partners with operational and technical teams to improve construction technology, financial workflows, data accuracy, and employee adoption. It is primarily office-based with occasional construction site visits and travel of less than 25%.

Leads forecasting, budgeting, financial modeling, cash flow planning, KPI reporting, and performance analysis. Develops Power BI dashboards and automation, manages foreign currency risk and hedging recommendations, improves finance processes, and provides forward-looking insights to executive leadership. Partners cross-functionally to identify risks, opportunities, and business drivers while ensuring forecast, reporting, and financial data integrity.

Build and modernize business intelligence reporting using SQL, cloud data platforms, Looker, and AI automation. Develop dashboards, validate commerce and financial data, identify trends and root causes, and deliver executive-ready insights. Lead stakeholder alignment meetings, partner with Editorial, Sales, Finance, SEO, and Product, and mentor analysts on generative AI, prompt engineering, and database connectors. The role requires holiday monitoring coverage and EST working hours.

Investigate and resolve system issues, distinguish training questions from defects, and escalate confirmed problems. Perform UAT, regression testing, release sign-off, and post-deployment validation. Serve as a subject matter expert, document system processes, support projects, collaborate with Business Analysts and IT development, and manage assigned Zendesk tickets. Participate in evening production deployments every three to four weeks. No coding background is required, and training is provided on internal systems.

Own and optimize end-to-end go-to-market operations across marketing, sales, renewals, and upsell. Responsibilities include bookings audits, financial reporting, pipeline reviews, forecasting, executive communications, GTM metric governance, process enablement, and performance analytics. The role partners with Sales, Marketing, Finance, Customer Success, and Revenue Operations while managing systems and reporting across Salesforce, HubSpot, and related sales technology.

Supports pricing, quotes, bids, RFPs, and contract opportunities by analyzing costs, revenue, margins, and profitability. Develops pricing models and financial evaluations, prepares proposal content, maintains pricing tools and reports, and collaborates with Sales, Operations, Accounting, and Finance to deliver competitive and profitable customer solutions.

Client-facing analyst guiding buyers and sellers through secondary transactions on Hiive's platform. Manage onboarding, execution, documentation review, and cross-functional coordination. Source and qualify clients, track pipeline and metrics, provide market insights, and ensure compliant, accurate, and timely closings.

As a Senior Analyst in Sales & Trading, you will manage client experiences, support transactions, provide market insights, and ensure compliance through all stages of the trading process.

Provides frontline technical support for mining clients, troubleshooting software, hardware, network, database, and server issues. Owns cases through resolution, documents findings, escalates complex problems, and supports system implementations and upgrades. Delivers client training, maintains test environments, coordinates remote and occasional on-site support, and builds client relationships while following quality and safety standards.

The Senior Financial Analyst will support go-to-market strategy through financial planning, budgeting, forecasting, modeling, variance analysis, ROI evaluation, and resource optimization. The role partners with senior leaders, develops financial models and P&Ls, provides actionable business insights, and improves FP&A processes, systems, and reporting. Responsibilities include budget ownership, monthly budget-to-actual analysis, strategic projects, SaaS benchmarking, and cross-functional stakeholder collaboration.

Analyze operational and financial data, build Power BI dashboards and Excel models, forecast workloads, perform variance analysis, automate reporting, improve workflows, and support labor planning. The role partners directly with executive leadership to turn data into business decisions and explore practical AI solutions. It is designed for an early-career professional with strong analytical, communication, problem-solving, and continuous-improvement skills.

Lead security alert triage, incident investigations, incident response, detection lifecycle management, threat assessments, and SOC automation. Coordinate containment and remediation with technical, legal, privacy, and business teams. Develop playbooks, runbooks, metrics, and detection logic; investigate cloud, endpoint, identity, SaaS, and production environments; coach analysts; and improve SOC quality, scalability, and response efficiency through responsible AI-assisted workflows.

Establish and maintain QA for Power BI reports, dashboards, data models, ETL pipelines, and analytics products. Develop test strategies, test cases, regression suites, data validation scripts, and quality gates. Validate source-to-report accuracy, DAX calculations, semantic models, data integrity, and downstream impacts of model changes. Track defects, coordinate retesting, support release sign-off, and communicate technical findings to stakeholders.