Top Analytics Jobs in Vancouver

As a Senior Analyst in Credit Risk Analytics at BMO, you will analyze and implement credit risk models, develop stress testing methodologies, and provide actionable business recommendations. You'll work collaboratively with stakeholders to address inquiries and improve risk measurement consistency, while gaining valuable experience in risk analytics.

The Manager of Credit Optimization Strategy & Analytics will lead the development of strategies for credit card account management, employing data visualization and analytics to derive insights from business data. This role involves creating dashboards, interpreting trends, developing insights, and training non-analytical users on reporting tools.

The Scaled Analytics Partner role focuses on delivering data-driven insights and measurement solutions for mid-tier clients, collaborating with teams to ensure accurate reporting and KPI analysis. Responsibilities include managing client deliverables, conducting QA and discrepancy checks, and identifying opportunities for templated best practices in measurement adoption.

The Senior Manager, Advanced Analytics will define and implement product strategies for data analytics and AI to support business objectives, manage product lifecycles, and collaborate with teams to enhance the customer experience. The role includes risk management, strategic input for business decisions, stakeholder collaboration, and team performance improvement.

The Manager, Reporting & Analytics is responsible for leading data preparation, analysis, and reporting to support business decisions. The role involves consulting on analytical solutions, providing insights into customer behavior, and developing strategies for data quality and analytics. The manager will design tools, validate models, and ensure alignment between business needs and data requirements while collaborating with various stakeholders.

As a Senior Data Analytics Engineer, you'll build and deploy an Enterprise Data Warehouse, define data needs across functions, write data transformation code for ETL/ELT, mentor junior team members, optimize data pipelines, and ensure data quality through testing and documentation.

As a Senior Data Scientist, you will apply your expertise in AI and machine learning to develop and prototype advanced analytics engines. You will collaborate with business partners to define problems, develop analytical models, and integrate solutions into data products, while also educating on the value of data-driven decision-making.

The Consumer Credit Risk Reporting and Analytics Specialist is responsible for executing accurate risk reporting, implementing reporting solutions, and ensuring the integrity of risk data. This role involves analyzing data trends, supporting audits, and maintaining risk reporting frameworks while collaborating with both internal and external stakeholders.

As an Analytics Engineer at Dialpad, you will support ASR and NLP teams, collaborating closely with Ai Engineering to handle data needs and build tools for data science projects. Your role includes creating data sampling plans using SQL, maintaining dashboards and data pipelines, and conducting data analysis for product development insights.

The Data & Analytics Engagement Lead will drive standardisation in reporting, collaborate with various teams to ensure alignment with strategic requirements, educate users on self-service reporting, and manage relationships with IT teams and third-party partners to deliver robust reporting solutions.

The Social Insights & Analytics Apprentice will assist in analyzing social media data, develop strategic insights, and support senior analysts in implementing strategies for clients. Responsibilities include conducting research, using analytics tools, and staying updated on social media trends.

In the role of Data & Analytics Lead, you will provide data-driven insights to enhance decision-making across the organization. Responsibilities include leading business intelligence initiatives, collaborating with teams on metrics needs, analyzing data for strategic planning, and educating teams on data literacy and analytics.

The Head of Analytics will lead the data and analytics team to shape the data strategy, provide actionable insights, and drive data-informed decisions across the organization. Responsibilities include collaborating with leadership to embed analytics in business strategies, ensuring scalable data infrastructure, enforcing data governance, and leading advanced analytics projects.

The Senior Data Analyst will lead analytics efforts for games, collaborating with LiveOps, Marketing, and Product Management. Responsibilities include overseeing reports and tables, improving data pipelines and ETL processes, and delivering impactful projects. They will manage junior analysts and maintain documentation and tools related to multiple games.

As a Data Engineer at Tiger Analytics, you will design, build, and maintain data pipelines and data infrastructure. You will work closely with data scientists and analysts to enable data-driven decision-making and ensure efficient data flow across the organization.

The Data Engineer will design databases, manage large data sets, create dashboards, and generate insights using advanced analytics. The role requires collaboration and strong analytical skills to solve business challenges using data.

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.