Top Analytics Engineer Jobs

The FinOps Engineer II will develop cost optimization solutions, monitor cloud expenses, create dashboards, and support cloud financial operations.

The role involves implementing automated cost monitoring and optimization solutions, collaborating across teams, and enhancing cost management capabilities within CrowdStrike's FinOps practice.

The role involves leading the FinOps practice, overseeing cloud cost management across product and platform groups, and ensuring strategic alignment and cost efficiency. Responsibilities include team leadership, collaboration with engineering and finance, and reporting to senior leadership.

Architect and build a high-performance Advanced Analytics Engine using Rust and AI, optimizing data processing and decision-making capabilities. Collaborate with teams to integrate analytics systems, mentor engineers, and contribute to open-source initiatives.

Lead a small team of analysts to develop and improve analytical solutions for manufacturing, enhancing productivity, reducing costs, and ensuring quality.

The Data Analytics Engineer will enhance Salesforce analytics, translate business requirements into technical specifications, maintain data flows, and ensure data quality and reporting standards.

As a Senior Staff Data Solutions Engineer, you'll design and implement data solutions, collaborate with clients, optimize databases, solve data-related issues, and stay updated on industry trends.

Lead data integration strategies, ensure data quality, develop BI improvements, and manage junior analysts to meet customer analytics needs.

The Senior Analytics Engineer will enhance data models, optimize performance in Snowflake, and bridge data engineering with analytics teams for strategic decision-making.

The Analytics Engineer will build and maintain data pipelines, develop data models, and ensure data accuracy for analytics and reporting.

As a Data Analytics Engineer, you will develop data pipelines, support analytics architecture, and create dashboards in a collaborative, startup environment.

The Senior Analytics Engineer will build and scale the analytics layer for decision-making. Responsibilities include design, implementation, testing, and maintaining data reliability across teams.

As a Senior Software Engineer, you will lead the design and implementation of scalable data pipelines, mentor engineers, and collaborate with cross-functional teams to enhance AI and analytics data for product features.

As a Supply Chain Analytics Engineer, you'll optimize SQL data pipelines, create dashboards, automate workflows using Python and Typescript, and collaborate with supply chain teams to enhance reporting and performance metrics.

The role involves improving product yield by managing the ESDA system, troubleshooting, collaborating with teams, and analyzing defect data for insights.

Lead the development of data models at Anduril Industries, focusing on building ontologies and collaborating with stakeholders to enhance decision-making through data-driven solutions.

The Senior Analytics Engineer will transform raw data into clean datasets, ensuring data quality, collaboration across teams, and creating robust analytics for business insights.

The Staff Analytics Engineer will enhance the analytics data layer, improve data quality, maintain core data models, and introduce AI-assisted workflows to optimize insights generation.

The Analytics Engineer will design and maintain data infrastructure for analytics, collaborate with teams, implement data governance, and optimize reporting.

The AI Analytics Engineer will lead data infrastructure and AI systems development, collaborating with business leaders to design end-to-end data solutions and optimally structure data for AI access.

Design and develop Python-based analytics tools for investment research and portfolio analysis, while managing data lakes and AWS solutions.

The Sr. Analytics Engineer at Philo is responsible for designing data models, governing business metrics, collaborating with stakeholders, and ensuring data quality and documentation for analytics purposes.

The role involves engineering analysis and simulation support for aerospace systems, data analysis, and collaboration with various stakeholders to ensure mission performance.

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

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.