Top Analytics Engineer Jobs in Boston, MA

Lead the Analytics Engineering team to enhance data modeling and transformation, ensuring accurate data governance and user empowerment through effective data pipelines and models.

As a Senior Data Analytics Engineer, you'll manage ChowNow's data platform, build tools for data insights, and collaborate with teams to enhance data availability and accuracy.

Design and implement data pipelines, maintain ETL processes, and enhance data quality for People Analytics, ensuring reliable reporting solutions.

The Senior CX Analytics Engineer at Coinbase will improve customer compliance operations with analytical tools, collaborate on business needs, and drive meaningful insights for strategy and customer experience enhancement.

As a Senior Analytics Engineer on the People Data team, you'll manage the People Data Warehouse, enhance data integrity, and build data models to support insights and decision-making.

As an Analytics Engineer, you'll design data models, maintain ETL pipelines, collaborate with cross-functional teams, and ensure data quality and governance.

As a Data Engineer, you will design and build data pipelines, ensuring data accuracy and developing data solutions that meet business requirements.

The Staff Analytics Engineer will lead data projects, ensuring data accessibility and driving impact through analytics engineering while mentoring teams on best practices.

The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.

Design, develop, and manage AWS-based data engineering solutions, mentor junior engineers, and ensure data integrity and compliance.

The Senior Analytics Engineer will design and maintain data models, develop user-facing data products, optimize BI systems, and troubleshoot data pipelines while ensuring data quality and security standards.

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

As an Analytics Engineer, collaborate with stakeholders to drive data-driven decisions, develop metrics, and improve data quality for payment experience analysis.

You will design, implement, and maintain ETL processes, ensuring data quality while providing insights to drive business growth and support decision-making.

The Staff Analytics Engineer at Webflow will design scalable data solutions, support analytics capabilities, and collaborate with stakeholders to improve data accessibility and usability.

You will design and build data-driven Streamlit apps, automate analytics pipelines, and monitor application performance while collaborating with platform engineers.

As a Staff Analytics Engineer, you'll build production data workflows, ensure data integrity, and create customer-facing data insight products using SQL and Python.

We are seeking a Data Analyst with expertise in data engineering and Salesforce to design ETL pipelines, enhance data integrity, and support business analytics.

The Staff Analytics Engineer will build foundational datasets, enhance user data quality, mentor team members, and collaborate on data-driven projects.

The Associate Data Analytics Engineer develops data pipelines, ensuring accuracy, and supports business analytics through effective data solutions.

As a Senior Analytics Engineer, you will design data models and optimize analytics pipelines, empowering stakeholders through collaboration and best practices in data governance and quality.

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.

Lead the design and implementation of scalable data solutions while managing a data team, ensuring data quality and performance using modern analytics tools.

The Analytics Engineer will lead analytical efforts in Acquisition, implementing data models, dashboards, and A/B testing to inform business decisions.