Top Analyst Jobs in Vancouver

Manage land project workflows, delegate tasks, track timelines and deliverables, liaise with clients and teams, ensure regulatory compliance for land acquisitions and permits, audit documentation, prepare client reports and tracking tools, and train team members to maintain quality and best practices.

Partner with Sales, Marketing, and Customer Success to lead GTM FP&A: forecasting, headcount and Opex management, bookings/ARR metrics, quota and pipeline modeling, ROI/unit-economics analysis, compensation modeling, automation and AI-driven reporting, and board-level reporting. Build scalable analytics, AI-powered workflows, and drive monthly/quarterly planning and business reviews.

Analyze player behavior, game health, engagement, retention, monetization, and live-service performance for Marvel Strike Force. Own KPI reporting, explain trends and variances, evaluate experiments, validate analytics tracking, and deliver actionable insights to product, design, marketing, live operations, and leadership teams. Use SQL, Python, reporting tools, and AI-enabled workflows while maintaining data quality, privacy, and analytical rigor.

Support the Product Integration team to ensure flawless execution of the product lifecycle. Facilitate checkpoints and cross-functional meetings, lead or project-manage initiatives, define and realize divisional programs, integrate tools to meet business needs, and organize timely, relevant information for the division.

Administers incentive compensation programs, including commission audits, payout calculations, plan distributions, draws, prorations, SPIFFs, and final settlements. Maintains Xactly and Salesforce data, supports system enhancements, adjusts commissionable metrics, resolves sales representative inquiries, delivers payouts to Payroll, and improves statements and workflows.

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.

Support month-end and quarter-end GAAP close, prepare management reports and reconciliations, investigate variances, prepare journal entries, liaise with Shared Services, and drive process improvements and internal control compliance.

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.

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.

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.

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.

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.

Perform equity research focused on mining and resource companies: build and maintain DCF, comparables, and scenario models; monitor macro, commodity, and regulatory developments; generate investment ideas and written reports; track KPIs and commodity trends; and collaborate with portfolio managers to develop sector strategies and identify risks.

As an Investment Analyst, you will conduct research, perform financial modeling, monitor portfolio performance, and provide investment recommendations to support clients' financial success.

The Analyst will research potential investment opportunities, evaluate and assist in executing principal investments, develop financial models, and manage asset-level reporting for a portfolio of investments.

Support end-to-end Power BI report development: gather requirements, design data models and ETL, build dashboards, automate workflows with Power Automate, manage data sources (SharePoint, SQL, APIs), resolve data quality issues, document solutions, and collaborate with stakeholders to improve reporting and processes.