Top Analytics Engineer Jobs

As a Data/Analytics Engineer VP, you will manage the lifecycle of data assets, ensure data quality, and create dashboards while collaborating with AI and data science teams.

The Data Analytics Manager will lead data analytics initiatives, collaborate with engineering and sales teams, and manage client relationships to drive strategic insights.

The Data Analytics Manager will leverage data to create innovative solutions, perform data storytelling, manage client relationships, and support sales efforts.

The Sr. People Analytics Engineer will lead HR data governance and data engineering for scalable analytics, focusing on data quality, pipelines, and dashboards.

As Lead Analytics Engineer, you'll create scalable data pipelines, guide a data team, and transform raw data into actionable insights to drive business strategy.

The Analytics Engineer will design and implement data warehousing solutions, automate data pipelines, analyze data for insights, and ensure data quality while collaborating with cross-functional teams.

The Data Engineer will design and manage data pipelines, develop datasets for product metrics, and collaborate with teams to ensure robust data integration and processing.

As a GTM Analytics Engineer, you will enhance data infrastructure, build SSOT models, and optimize data pipelines to support analytics and business decisions.

As an Analytics Developer, you'll analyze complex data using SQL, Python, and Excel, build analytics solutions, and present insights to stakeholders.

The Data and Analytics Engineer will build and maintain scalable ELT pipelines, leveraging data for analytics and reporting within the Snowflake data architecture.

As a Senior Analytics Engineer, you'll drive analytical solutions, design metrics, partner with business teams, and present insights for content operations.

The Senior Analytics Engineer will build and maintain data integrations, automate workflows, ensure data accuracy, and support school operations in K-12 education.

The Senior Python Developer will write maintainable Python code, debug data issues, and collaborate with cross-functional teams to create data solutions that improve efficiency and meet business needs.

The Staff Software Development Engineer - Analytics Engineering will design and manage data pipelines, optimize workflows, and work with the Data Science team to enhance business operations through advanced data engineering solutions.

The Analytics Engineer will create and maintain data models, collaborate with stakeholders, build ETL pipelines, and ensure data integrity.

Lead the development of data models and collaborate with stakeholders to build effective data solutions at Anduril Industries.

Analyze payer performance and trends, create actionable reports, document common error patterns, and manage analytics-related backlog for enhancing operational efficiency and customer outcomes.

Design and maintain technical infrastructure for data analysis, collaborate with stakeholders, and develop data visualization tools.

The Senior Analytics Engineer will lead advanced analytics initiatives, design data solutions, mentor auditors, and analyze large datasets to enhance audit services.

The Senior Analytics Engineer will design and develop data analytics capabilities, ensuring quality and compliance while supporting business needs through insights and training.

The role involves designing, developing, and maintaining ETL pipelines, ensuring data integrity from various sources, and collaborating with data engineers and stakeholders to fulfill business requirements.

The Sr Data Engineer will design and maintain data pipelines, optimize data processes, and support analytics in GCP, enhancing healthcare data insights.

As a Data Engineer, you will design and maintain data pipelines, conduct data analyses, and collaborate with teams to derive actionable insights from healthcare data.

As an Investment Engineer, you'll design and evolve trading data and execution logic, directly collaborating with investors to manage trade execution and analyze transaction costs.

Seeking a Senior Data Engineer to enhance analytics infrastructure, automate data processes, and ensure data quality across systems with a focus on BI and machine learning.