Top Data Analyst Jobs in Vancouver

Analyze operational performance for Customer Success AI assistants, partner with product and operations to define success metrics, build dashboards, deliver insights, and prioritize product investments to drive adoption and effectiveness across global teams.

The Data Analyst will analyze hiring data to improve recruitment strategies, inform decisions, and enhance the quality and efficiency of hiring processes.

The Senior Product Data Analyst will analyze data to support product development, present insights, and drive data-driven decisions for marketing campaigns.

As a Data Analyst, you'll analyze crypto data, create actionable insights, collaborate with stakeholders, and ensure data quality within the data team.

The Commercial Data Analyst at Heartflow focuses on reporting, data governance, analysis, and cross-functional collaboration to enhance commercial productivity and efficiency.

As a Data Analyst, you will help understand player behaviors using SQL, perform analyses, create dashboards, and promote data-driven decisions.

The Data Analyst will engage in preparing and understanding data for predictive modeling, collaborate with cross-functional teams, create datasets, and manage data assets with an aim to innovate and drive productivity.

The Staff Data Analyst will analyze data to drive monetization strategies, conduct A/B testing, generate insights, and collaborate cross-functionally to inform product decisions.

Collect, clean, and analyze product data to generate reports and dashboards (KPIs: engagement, retention, adoption). Provide exploratory analyses, visualizations, and actionable insights to product teams, ensuring data integrity and supporting product decisions.

Lead GTM analytics by designing dashboards, curating and validating multi-source datasets, and delivering actionable insights to senior leaders. Build data models, ensure data quality, author reporting, and partner cross-functionally to prioritize growth opportunities and support strategic decision-making.

Own and improve Hive's Snowflake/dbt/Metabase analytics stack as a solo analyst: build and maintain dashboards, partner with leaders, perform ad-hoc SQL analyses, support operations, and present insights to technical and non-technical stakeholders.

The Staff Data Analyst partners with teams across Marketing, Sales, and Customer Success to optimize resource deployment, analyze performance, and drive actionable insights supporting revenue goals.

The Data Analyst for Risk will analyze and report on fraud and risk data, develop insights, build dashboards with Looker, and improve risk processes.

The Business Data Analyst will develop and maintain BI solutions, support reporting, and automate processes while working with cross-functional teams to fulfill business needs.

The Staff Data Analyst will enhance data quality across Engineering and Research, lead cleanup efforts, utilize data extraction tools, and translate findings into actionable insights for diverse audiences.

Partner with Product leadership to build and maintain Snowflake-based analytics models, run behavioral and funnel analyses, design experiments, and develop predictive models to inform product decisions and roadmap execution.

Build and maintain a unified marketing performance dataset, design and QA data pipelines, create self-serve dashboards and forecasting tools, analyze acquisition efficiency and CAC/LTV, support marketing and finance with reconciliations, and provide data-driven insights for growth strategy and spend optimization.

Analyze player behavior and drive product innovation through data-driven insights. Collaborate with teams to design and evaluate experiments, maintaining data quality and delivering meaningful insights.

The Senior Data Quality Analyst will enhance data quality in the organization through analysis, collaboration with stakeholders, and implementation of data governance strategies.

The Senior Data Engineer designs and delivers scalable data infrastructure using various technologies, collaborating across teams to leverage data for business insights, while also leading initiatives to modernize data flows and ensure responsible AI usage in engineering practices.

The Sr. Data Analyst will deliver actionable insights, develop predictive models, build dashboards, and work with stakeholders to drive revenue through data-driven solutions in a rapidly growing startup.

The Senior Analyst for Sales will collaborate with sales leadership to improve sales performance, develop reporting tools, and oversee key sales metrics using SQL and Looker.

The GIS Data Quality Analyst transforms field data into quality insights, ensuring compliance and continuous improvement in telecommunications through data analysis, QA/QC procedures, and stakeholder communication.

As a Data Analyst, you will optimize the reporting ecosystem, focusing on SSRS and Power BI, ensuring data accuracy and driving modern analytics adoption.

As a Data Analyst in Business Intelligence, you will analyze data, develop insights, and provide recommendations to assist internal teams and improve decision-making processes within StackAdapt's advertising platform.