Top Analytics Engineer Jobs

Lead and support process design and optimization projects in pharmaceutical manufacturing, utilizing data analysis to improve safety, efficiency, and product quality.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

The role involves developing analytics solutions using structured and unstructured data, building AI models, and creating dashboards to enhance learning insights.

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

The Engineer will develop data analytics infrastructure for AV safety analytics, integrate simulation data, and collaborate to enhance automated driving systems' validation and performance metrics.

As a Senior Analytics Engineer, you will design, develop, and implement analytics solutions, focusing on data modeling, ETL processes, and system integration while mentoring and collaborating with cross-functional teams.

As a Senior Data Analytics Engineer, you will build and manage data pipelines, support AI/ML initiatives, and ensure data reliability and accessibility within the organization.

The Principal Analytics Engineer will design and engineer a data infrastructure to support AI-powered insights and reporting for Elastic's marketing strategies, ensuring data quality and usability for all stakeholders.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

The Senior Data Analytics Engineer analyzes and delivers business intelligence solutions, builds data pipelines, and collaborates with clients to meet their data-driven needs.

Design, build, and operate lakehouse platform components, drive open table format adoption, and collaborate on data architecture management.

As an Analytics Engineer, you will develop data-centric solutions, manage data projects, create scalable data pipelines, and communicate insights effectively to drive decision-making across the organization.

Design and operate scalable data systems for People Analytics, ensuring reliability and privacy of sensitive employee data. Collaborate with leadership to create data products for decision-making.

Join Celonis' 12-month Orbit program to consult with customers, prototype AI and ML/LLM solutions on the Celonis platform using SQL and PQL, run proofs of concept, present value to executives, and collaborate with product, implementation, and partners to realize customer value.

As a Power Apps Developer, you will design and develop enterprise applications, collaborate with teams, and ensure performance while aligning with business needs.

Seeking an Analytics Engineer to build a DBT analytics infrastructure, manage data pipelines, and support financial modeling in a dynamic fintech environment.

As a Data Engineer, you will design and maintain data pipelines and analytics-ready data models, enabling trusted HR reporting and analytics for people data.

This role involves overseeing data engineering applications, mentoring junior staff, analyzing complex issues, and fostering collaboration with stakeholders to achieve business insights and optimize data processes.

As an Analytics Engineer II, you will build and scale data models, develop data pipelines, and enhance CI/CD processes for advanced analytics and AI initiatives, while collaborating with stakeholders and mentoring junior team members.

The Marketing Analytics Engineer will architect a global marketing data ecosystem, integrating complex datasets for enhanced analytics and tracking.

The Staff Product Analytics Engineer will enhance product data usage across teams by owning data infrastructure, creating tools for self-service data, and ensuring data-driven decisions. Responsibilities include collaborating with various teams to improve data insights and maintain data pipelines.

The Analytics Engineer will design and maintain data infrastructure for business intelligence, optimize analytics processes, and ensure data quality and governance.

As a Data Analytics Engineer, you will build data pipelines, develop KPIs, collaborate with stakeholders, and promote data-driven decision-making.

As a Data Engineer, you will develop scalable data pipelines, optimize performance, ensure data reliability, and collaborate with cross-functional teams on AI-driven features and analytics.

The Logi Analytics Developer will design reporting systems, create Logi objects, debug applications, and support business users in ad hoc reporting.