Top Analytics Engineer Jobs

Design, develop, and monitor large-scale cloud-native data solutions and ETL pipelines; support ML model deployment, ensure code hygiene and CI/CD, mentor engineers, produce documentation and runbooks, and engage with clients to deliver analytics-driven solutions.

Design and operate data platforms using Databricks and Palantir on Azure, focusing on automation, CI/CD, and reliability practices.

Design and operate scalable data platforms using Databricks and Palantir, ensuring high-quality data engineering and product delivery through CI/CD and Infrastructure-as-Code principles.

This role requires designing and developing data integration frameworks, managing data pipelines, and collaborating with teams to drive product-led growth using data insights.

Develop and apply data analytics and predictive methods to improve system performance and manufacturability in semiconductor manufacturing. Engage in system integration, collaborate with teams, and support production ramp using analytical insights.

The Principal Analytics & ML Engineer will architect scalable analytics and ML solutions, build data models and pipelines, and mentor teams on best practices. Responsibilities include developing analytical models, collaborating across teams, and driving impactful analytics projects.

The role involves developing and improving data processing frameworks using Airflow and AWS, collaborating with cross-functional teams, and enhancing system observability for analytics platforms.

Develop and maintain software applications, communicate with users, and implement flexible solutions while improving processes.

The role involves data analysis, scripting automation with MATLAB/Python, technical reporting, communication of findings, and collaboration with teams to refine data workflows.

The Senior Analytics Engineer will design, build, and maintain data models, reports, and dashboards to support GTM teams, leveraging data to drive business insights and efficiencies while integrating AI solutions.

The role involves analyzing site usability, building dashboards, administering Adobe Analytics, and collaborating on analytics requirements with marketing and product teams.

Work with cross-functional teams to develop data analytic solutions, improve tool architecture, and perform reliability analyses using big data.

As a Senior Analytics Engineer, you'll transform complex data into reliable products using SQL and cloud-based warehouses, ensuring data quality and supporting analytics across the organization.

The Senior Analytics Engineer at Feastables manages data workflows supporting demand planning and business performance, builds analytics systems using SQL and Python, and creates Tableau dashboards for key metrics.

Responsible for managing the company website and marketing technology, ensuring technical stability and analytics tracking, supporting campaign performance, and optimizing digital experiences.

As a Junior Data Analytics & Automation Developer, you will develop analytics solutions and dashboards, analyze datasets, ensure data integrity, and support process improvements using Microsoft tools.

Design and implement scalable platforms, automate infrastructure provisioning, and provide support for analytical applications. Collaborate with teams for CI/CD, monitoring, and security compliance.

The role involves designing user-friendly analytics tools, building scalable data models, and delivering analytical insights to improve decision-making across teams, particularly in People and G&A functions.

The AI Developer is responsible for designing and deploying AI solutions, including autonomous agents and predictive models, and integrating them into business operations.

The Analytics Web Developer will design, develop, maintain, and support software applications, communicate with stakeholders, and identify process improvement opportunities.

As a Senior Full Stack Software Engineer, you will own product features, design scalable systems, mentor teammates, and ensure coding excellence while collaborating with cross-functional teams.

Develop and support analytics and reporting applications, integrate with data platforms, optimize performance, and collaborate with stakeholders to create user-friendly solutions.

As a Senior Analytics Engineer, you'll architect the data foundation, manage the ingesting of new data sources, ensure reliability, and enable teams to leverage AI-driven workflows effectively.

Lead the development of analytics infrastructure for clinical AI/ML products, focusing on product performance monitoring, data management, and cross-functional collaboration.

Lead cross-team projects to build scalable data models and pipelines, using AI for data pipeline development and ensuring data quality.