Top Analytics Engineer Jobs

Design and implement data pipelines, manage data with SQL and Python, automate workflows, ensure data integrity, and build scalable data solutions on AWS and Redshift.

The role involves leading the strategy, implementation, and optimization of tag management and marketing analytics initiatives, collaborating with teams to improve digital marketing efforts.

As a Staff Analytics Engineer, you'll design and maintain a robust analytics data layer, ensuring accuracy in R&D data and mentoring team members.

As a Data Analytics Engineer I, you'll bridge engineering and analytics, manage data pipelines, collaborate with stakeholders, and utilize modern open-source tech for data transformation and integration in structured finance.

The Data & Analytics Engineer will support marketing analytics by working with data pipelines, data modeling, and collaboration with marketing teams to provide insights for campaigns and customer engagement.

The RevOps Analytics Engineer is responsible for maintaining data infrastructure, building reliable data systems, and supporting revenue analytics through effective data modeling and ETL/ELT processes.

The Sr. Lead People Analytics Developer translates complex workforce data into actionable insights, develops dashboards with Tableau, and collaborates with HR and finance to enhance workforce strategy and operational efficiency.

The Lead Analytics Developer designs and implements enterprise BI solutions, oversees data modeling and ETL development, and mentors junior developers.

As an Analytics Engineer, you will build dashboards, structure data, and prepare metrics for AI features while collaborating across teams to derive insights.

The Analytics Engineer will build data and analytics capabilities, create dashboards, partner with teams to define metrics, and prepare datasets for AI features.

The Senior Data Analytics Engineer will own the data ecosystem, manage pipelines, support AI/ML initiatives, and translate business goals into technical requirements. They will also ensure data reliability and optimize performance across analytics platforms.

The Analytics Developer will create BI solutions, develop Power BI dashboards, optimize SQL queries, and collaborate with business experts to fulfill reporting needs.

The Analytics Engineer II will build data models, ensure data quality, and support business teams with analytics needs.

The Business Intelligence & Analytics Developer II delivers analytics solutions, collaborating with stakeholders to translate business needs into BI solutions and performing ad hoc analyses to inform decision-making.

As an Analytics Engineer at Stripe, you will develop analytics products and tools for payment optimization, maintain analytics assets, and build data pipelines to enhance user insights.

The Analytics Engineer at Seeq will work as a technical advisor, leading customer engagements, designing and implementing analytics solutions, and providing industry expertise to optimize industrial processes.

The Analytics Engineer will develop data pipelines, optimize data models, create dashboards in BI tools, and collaborate with stakeholders for data-driven insights.

The Analytics Engineer/Data Scientist will develop data models for cost analysis and reporting, transforming raw data into structured datasets and providing insights for customer billing.

As an Analytics Engineer, you'll refine data, build models, enable self-service analytics, and collaborate with various teams to improve customer insights.

The role involves managing analytics and data ecosystems, transforming data into insights, developing data layers and dashboards, analyzing datasets, and ensuring data privacy. Collaboration with cross-functional leaders is essential.

The Analytics Engineer will develop data pipelines using SQL and Python, manage data models in dbt, convert business needs into specifications, and support reporting and data access.

The Analytics Engineer will develop data pipelines using SQL and Python, create data models with dbt, and support reporting and analytics efforts.

Develop Epic Cogito reporting solutions for the Laboratory/Pathology department, collaborating with clinical leaders to enhance patient care through analytics and reporting tools.

The Senior Analytics Engineer manages end-to-end analytics delivery, focusing on dbt model development and Tableau dashboard creation while collaborating with business teams for data solutions.

As a Senior Analytics Engineer, you will manage analytics infrastructure, design data models, build dashboards, and integrate AI/ML into analytics processes to aid decision-making in food and beverage supply chains.