Top Analyst Jobs in Vancouver

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.

The Senior Business Analyst (Product Owner) manages enterprise data products, ensuring delivery aligns with business goals, fosters collaboration, and leads product strategy by maintaining a prioritized backlog and defining user experience standards.

Own day-to-day GTM revenue systems and build AI-native automations. Responsibilities include Salesforce administration, n8n workflow development, deal desk and commissions support, tooling administration, integration monitoring, and converting repetitive tasks into automated, agentic workflows using Claude Code and other AI tools.

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.

Builds and maintains global Workday HR reporting infrastructure: gathers requirements, develops custom reports and dashboards, tests and validates solutions, supports UAT, mentors peers, handles ad-hoc data requests, and improves report performance and user adoption across HR teams.

Own end-to-end product analytics for the Pro team: build production-grade pipelines and dbt models, define north-star metrics, design A/B tests and causal inference frameworks, create dashboards and metric frameworks, embed AI tooling, and translate insights into product recommendations for leadership.

Lead complex people-analytics work: design actionable dashboards, apply rigorous research methods, translate analysis for executives, advise HR leaders, build AI-driven workflows, and work hands-on with Visier, Snowflake, SQL, and Python/R.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

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.

Own the quote-to-cash process: review and approve order forms, lead complex deals and renewals, configure CPQ/CRM rules, manage Stripe billing, partner with AEs and CS, coordinate with outside counsel, build templates and playbooks, and ensure clean accounting and month-end reconciliations.

Lead growth and player behavior analytics across sportsbook, casino, and poker products. Partner with Revenue Ops, Marketing, Product, and VIP to run retention, bonus optimization, segmentation, funnel/cohort analyses, and A/B tests. Build predictive models and apply ML/AI tooling to generate actionable insights and recommendations that drive engagement, personalization, and ROI.

Manage end-to-end accounts receivable and collections including aging analysis, customer outreach, payment plans, and dispute resolution. Maintain Salesforce data, prepare manual invoices, apply contract terms to billing, support month-end close, and collaborate with Customer Success and Support.

Support daily crypto market operations by monitoring prices, liquidity, and trading activity across spot, futures, and options. Assist with rebalancing across CEX/DEX, track issues for developers, analyze data and charts for signals, ensure trading bots meet risk and performance rules, and coordinate treasury and client reporting.