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 optimize dialer systems and campaigns, troubleshoot telephony issues, administer user access, design and maintain reporting, analyze KPIs, provide performance recommendations, and partner with stakeholders on system enhancements and analytics to improve productivity and compliance.

Own Lending analytics end-to-end: build semantic data models in Snowflake, connect cross-functional data, create dashboards and self-service reporting, and use AI tools to accelerate analysis. Develop and maintain SQL, contribute to data modernization, ensure data quality and standardized KPIs, and partner with Finance, Product, Risk, and Operations to deliver trusted insights and scale analytics.

The Data Analyst will analyze complex data sets to extract insights for enhancing player retention and monetization strategies. They will collaborate across teams, improve reporting processes, and manage A/B testing and dashboard creation.

The Dialer & Data Analyst optimizes dialer systems, manages campaigns, analyzes metrics, generates reports, and recommends system enhancements.

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.

Provide SKU-level demand forecasts, set reorder points and safety stock, reconcile inventory, analyze 3PL/carrier performance and shipping costs, build automated dashboards and SQL pipelines unifying Shopify, Amazon, and 3PL data, run ad-hoc promo and launch analyses, and partner with Growth and Operations to align stock and reduce logistics cost.

Perform exploratory, diagnostic, and descriptive analyses to generate insights and dashboards. Build and maintain reports, prepare and transform data (SQL/Python/Alteryx), validate pipelines, analyze A/B tests, document data lineage and business rules, and present findings to stakeholders to inform decisions across Digital, Marketing, Finance, and Operations.

The Data Analyst will analyze complex data to provide insights for Finance and Operations, build dashboards using Looker, and optimize data quality.

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.

The Data Analyst Intern will migrate dashboards from various platforms to Hex, perform data validation, conduct analyses for insights, and communicate findings across teams.

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 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.

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

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

As a Data Analyst at Coframe, you will respond to customer data requests, build reports, resolve data discrepancies, and automate processes.

Design, architect, and implement ETL/ data integration solutions using DataStage and IBM InfoSphere/DB2. Provide ETL architecture leadership and leverage 5+ years of experience to deliver robust data integration systems.

Design, build, and maintain BI dashboards and reports; write advanced SQL to extract and validate data; recommend KPIs; manage reporting projects; partner with Product/Revenue/Operations; own BI reporting cycles and adopt AI/LLM tools to accelerate analysis and automation.

The Lead Product Analyst will define KPIs, partner with product teams, analyze data for insights, and mentor others in analytics standards.

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.

Senior-level role building and validating real‑world datasets and analyses. Responsibilities include programming (SAS/R/Python/SQL), cohort derivation, index date definition, applying GLM/logistic/Cox and propensity score methods, working with claims/EHR sources (Optum, HealthVerity, PharmMetrics), OMOP transformations, protocol/SAP review, QC/validation, documentation, and mentoring. AI/ML and LLM workflow usage is a plus.

The Senior Data Analyst will design and deliver analytics solutions using Power BI, enhancing data storytelling and governance while collaborating across teams to promote data fluency, managing multiple priorities and adapting to Agile and Waterfall models.

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.