Top Data Analyst Jobs in Vancouver

As a Data Analyst II in Fraud, you'll analyze fraud data, develop models, and collaborate across teams to optimize fraud detection and prevention strategies.

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

Manage and analyze production data for feature animation projects. Maintain reporting templates, master sequences, quota schedules, and scenario planners. Prepare weekly/monthly/internal reports, support Producers with forecasting and inventory flow, review report accuracy, recommend workflow improvements, and mentor production staff on bids and schedules.

The Senior Marketing Data Analyst will analyze customer behavior, optimize marketing spend, and improve performance, acting as the analytical engine of the marketing team.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

Perform quantitative and qualitative data analysis and reporting to support public health research and program evaluation. Produce reports, integrate mixed-methods data, assess implementation measures, advise stakeholders, manage gov/admin systems, and present findings to decision-makers.

Join the centralized Analytics team to measure product features, build and maintain dashboards, analyze clickstream and behavioral data, support A/B testing and feature measurement, and communicate insights to Product, Engineering, and Design. Grow technical skills with mentorship and contribute to Generative BI and AI-assisted analytics workflows.

The Data Analyst will assist the Compliance team in ensuring regulatory adherence by analyzing financial data, reviewing client documentation, creating compliance reports, and supporting risk management efforts within wealth management operations.

The MDM Data Analyst will translate business needs into data requirements, document governance rules, and ensure high-quality master data management across enterprise systems.

Lead analytics for Internal Audit Claims: extract, transform, reconcile, and validate large claims datasets; build and maintain Power BI reports/dashboards; perform QA and tie-outs; support automation, bots/AI enablement, and executive reporting; mentor other analysts and partner with audit, IT, and business stakeholders to deliver repeatable, validated analytics.

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 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.

As a Forward Deployed Data Analyst, you will configure and implement data systems for clients, ensuring their analytics are accurate and actionable. You'll work with teams to refine metrics and improve data processes, ensuring value from day one.

Perform full-stack on-chain and product analytics: query on-chain data, profile ecosystem actors, benchmark protocols, define KPIs, build dashboards, and translate findings into actionable briefs for strategy, BD, product, and growth teams.

The Product Data Analyst will analyze operational data, develop analytics frameworks, create dashboards in Tableau, ensure data integrity, and collaborate across teams to enhance decision-making and reporting.

Analyze large datasets to produce dashboards, metrics, and insights supporting product, care, and business decisions. Build BI infrastructure, run A/B and multivariate tests, perform ad-hoc analyses and visualizations, and collaborate with stakeholders and data scientists to inform strategy and operations.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

The Senior Data Quality Analyst will analyze and improve data quality across systems, collaborate on data governance, and ensure accurate data processes, contributing to actionable recommendations and stakeholder communication.

Lead RWD analysis strategy and execution: develop technical specifications and statistical programs, perform complex observational analyses (propensity scoring, ML), validate cohorts/variables, ensure QC, collaborate cross-functionally, and communicate results to non-technical stakeholders.

Embed within product teams to deliver actionable analytics: build dashboards, run deep-dive analyses, translate ambiguous business questions into data solutions, drive product growth, automate reporting, ensure analytics quality, and communicate insights to stakeholders to influence product decisions and forecasting.

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

Lead data analysis, migration planning, and data quality for a province-wide CIS migration. Develop ETL specs, perform data profiling, manage stakeholder collaboration, and ensure accurate, compliant migration of legacy hospital data into the new Clinical Information System.

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.

The Senior Web3 Data Analyst will manage web3 analytics, monitor on-chain activity, analyze competitor metrics, and deliver insights for product and leadership teams.