Top Analytics Jobs in Vancouver

The Data Scientist II - Product Analytics role at Coursera involves creating dashboards, analyzing A/B test outcomes, and providing actionable data-driven insights to improve product experiences. You will collaborate with Product Managers to enhance decision-making through analytics, leveraging Coursera's extensive learner data to drive innovative product development.

The People Analyst at Fortis Games will advance people analytics through establishing data infrastructure, developing reports, conducting analyses, and supporting Workday operations. Responsibilities include dashboard creation, stakeholder partnership, survey management, and ensuring data accuracy and governance to drive data-driven decisions.

The Manager, Digital Channel Analytics leads the development of advanced analytic solutions for Digital Channels, collaborating with management and stakeholders. The role involves analyzing customer interactions, driving omni-channel strategies, and presenting insights to facilitate informed decision making. The manager will also curate data, automate visualizations in Power BI, and apply predictive analysis to enhance digital functionalities.

The Lead DBT/Analytics Engineer will develop cloud architecture solutions, data models, and processes for data storage and retrieval. They will work collaboratively with a team to manage information systems, migrate data to cloud solutions, and ensure system performance while coordinating with stakeholders for future requirements.

As a Data Architect at Tiger Analytics, you will be responsible for designing and implementing data solutions aligned with business goals. This involves developing data architecture blueprints, optimizing Snowflake performance, and collaborating with stakeholders to translate requirements into technical specifications. You will also ensure data governance and lead the adoption of new technologies while working in a team for data visualization and reporting.

As a Data Analyst on the Product Analytics team at Epic Games, you will focus on data collection, visualization, and analysis to support decisions regarding cosmetics and monetization strategies in Fortnite. You'll collaborate with teams to identify opportunities, deliver insights via dashboards, and improve data accuracy through monitoring.

As the Data & Analytics Lead for Plan to Fulfill, you will oversee data ownership, analysis, and modeling within SAP S/4HANA transformation efforts. Responsibilities include data collection and cleaning, statistical analysis, reporting, data visualization, and ensuring data integrity. You will collaborate with cross-functional teams to solve business challenges using data-driven solutions and stay current with industry trends.

The role involves leading the Data & Analytics domain for the Source to Pay process under the SAP S/4HANA implementation, ensuring data accuracy, modeling, analysis, and reporting to support digital transformation. The candidate will solve business challenges using data-driven solutions and collaborate with cross-functional teams.