Top Analytics Engineer Jobs

The Analytics Engineer will shape data practices across Finance, enhance analytics self-service, manage ETL pipelines, and drive data integrity and insights for operational and financial metrics.

As an Analytics Engineer, you'll build and maintain product analytics, define success metrics, analyze user journeys, and ensure data quality.

The Lead Digital Analytics Engineer will modernize site analytics, implement a unified data layer, consolidate tag management systems, and ensure data quality across a multi-brand ecommerce environment.

Collaborate with stakeholders to analyze data and metrics, implement analytical models, and enhance data quality for business forecasting.

The Analytics Engineer will analyze data to support marketing efforts, optimizing campaigns and reporting on performance using SQL and BI tools.

As a Staff Product Analytics Engineer, you will build and maintain data infrastructure, collaborate across teams to enhance product data use, and develop tools for data self-service.

Build and own dashboards and self-serve analytics; partner with engineering to design data infrastructure; define metrics and data models for performance.

As an Analytics Engineer, you will build data workflows and analytics products, ensuring data accuracy and reliability while contributing to financial data deliveries.

The Analytics Engineer will enhance BI infrastructure, collaborate with Data Engineering, and deliver analytics-ready data. Responsibilities include managing Snowflake, dbt projects, and CI/CD workflows, optimizing data structures, and supporting BI initiatives.

Lead development and ownership of BigQuery data assets, pipelines, and observability. Build and optimize dbt models, CDC/file/streaming ingestion, and streaming replication. Partner with engineering and business teams to enable self-service analytics, advanced analytics (LTV, churn, attribution), and reliable real-time data products.

Seek a Lead Analytics Engineer to design and build scalable data solutions, oversee data engineering, and collaborate with cross-functional teams to meet data needs.

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 Senior Analytics Engineer, you'll design, build, and maintain data models, pipelines, and dashboards, ensuring data reliability and enabling self-service analytics.

The role involves designing data pipelines, developing metrics and visualizations, collaborating with teams to track product KPIs, and ensuring data integrity within a cybersecurity environment.

The Analytics Engineer will develop data pipelines using SQL, manage data models in dbt, and support reporting and analytics at EquipmentShare.

The Optimization Developer will create A/B and multivariate tests using HTML, CSS, and JavaScript, communicate with stakeholders, monitor experiment results, and contribute to site performance improvements.

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

The Senior Data/Analytics Engineer will design and implement operational data pipelines, ensuring data quality and lineage for decision-making in government operations.

The Data Analytics Engineer will design data pipelines, collaborate with internal teams, ensure data accuracy, and advocate for innovative practices while managing data systems and analyses.

The Enterprise Performance Analytics Engineer builds and maintains data pipelines and models, ensuring data quality and efficient reporting for analytics teams.

The Analytics Engineer will design and build data models, maintain the health of the data warehouse, optimize efficiency, troubleshoot errors, and create API connections. Effective communication and data integration are also key responsibilities.

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 role involves designing data solutions for GE HealthCare's AVS segment, building scalable pipelines, and integrating AI capabilities for advanced analytics.

The Predictive Analytics Engineer will manage Python and R tools, develop cloud operations, and automate analytics services using AI and ML while ensuring compliance and security.

The Senior Analytics Engineer role involves designing data models, optimizing data pipelines, collaborating with teams, and translating business requirements into actionable insights, driving commercial value from data.