Top Analytics Engineer Jobs in Boston, MA

As an Analytics Engineer II, you will build and maintain data pipelines, improve data quality, and collaborate with stakeholders to optimize data solutions for smart business decisions.

The Analytics Engineer develops and maintains reporting architecture, manages SQL data pipelines, improves analytics processes, and works with stakeholders on dashboards and reports.

The Senior Data Analytics Engineer will support cross-functional analysis, design and maintain data pipelines, and create dashboards for business metrics analysis.

The Senior Data Analytics Developer creates and enhances dashboards and analytical tools for finance decisions, focusing on data integrity and efficiency.

The Analytics Engineer will build and maintain data models, implement data flows, write tests, and develop automation in a cloud environment using tools like dbt and Snowflake.

As a GTM Analytics Engineer, you'll design scalable data products, ensure data integrity, and collaborate with stakeholders to drive data-driven decisions.

As an Analytics Engineer, you will develop and manage data models and reporting infrastructure, support new data integrations, and build automated reporting systems. You will collaborate with various stakeholders to enhance analytics capabilities and ensure appropriate documentation is maintained.

The Sr Analytics Engineer will build data models and insights for patient engagement and clinical operations using tools like dbt and Redshift, collaborating with cross-functional teams.

As a Data Analytics Engineer, you'll design, implement, and optimize data solutions, leveraging new technologies and leading customer workshops to drive actionable insights effectively.

As Principal Data Science Engineer, you will develop data pipelines and machine learning models to combat financial crimes, especially in cryptocurrency. You will lead teams, enhance detection capabilities, and collaborate with various business partners.

Design and implement cloud-based data pipelines, develop analytic solutions, mentor team members, and enhance data quality for healthcare analytics.

The Senior Business Intelligence & Analytics Engineer develops data tools for analytics, optimizes the data stack, and collaborates with various teams to enhance data-driven decision-making.

Lead the analytics engineering team, manage data infrastructure, collaborate with various teams, build models, and establish best practices.

The Senior Analytics Engineer will create and maintain data models, set data standards, collaborate cross-functionally, and provide strategic insights for business decision-making.

Lead insights into quality assurance and knowledge management functions, improving customer experiences through metrics, analytics, and data-driven decision making.

The Senior Analytics Engineer will build scalable data models using Snowflake and dbt, ensure best practices in analytics, and support various teams with data solutions.

As a Senior Analytics Engineer, you will architect scalable analytical solutions, collaborate with stakeholders, and mentor other engineers while transforming data into actionable insights.