Top Analytics Engineer Jobs in Boston, MA

As an Analytics Engineer, you'll transform healthcare data into insights, develop dbt models, manage Looker dashboards, and ensure data quality while supporting cross-team analytics needs.

As a Senior Data Analytics Engineer, you'll analyze and deliver business intelligence solutions using the Microsoft Analytics stack, working directly with clients to meet their data needs.

The Senior Paid Media Analyst drives analytics initiatives on media measurement, attribution, reporting, and collaboration across teams to deliver insights that support business goals.

The Staff Software Development Engineer - Analytics Engineering will design and manage data pipelines, optimize workflows, and work with the Data Science team to enhance business operations through advanced data engineering solutions.

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

The Analytics Engineer will lead data projects, collaborate with teams for insights, manage financial metrics, and ensure reporting compliance.

The Analytics Engineer will enhance ad targeting and audience understanding through data exploration, metric tracking, and model support while collaborating with cross-functional teams.

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.

The Senior Analytics Engineer will build and maintain data integrations, automate workflows, ensure data accuracy, and support school operations in K-12 education.

As a Data Engineer at Thatch, you'll develop data infrastructure, build ELT pipelines, and collaborate across teams to provide analytics insights.

As a Senior Analytics Engineer, you will build data models, ensure data quality, collaborate with teams, and champion analytics best practices to influence business growth.

The Senior Data Analytics Engineer designs and implements data models and analytics solutions, oversees data pipelines, and collaborates with teams to drive insights.

In this role, you will design and maintain ETL processes, collaborate with teams for data insights, and utilize various programming tools to enhance operations.

As an Analytics Engineer, you'll create data solutions, build SQL datasets, automate processes with Python, and enhance analytics tools while collaborating with stakeholders.

Develop and implement quantitative models for investment analytics, enhance data platforms, and collaborate with PMs on analytics tools.

The Sr Data Engineer will design and maintain data pipelines, optimize data processes, and support analytics in GCP, enhancing healthcare data insights.

The role involves designing data models and dashboards within a cloud-based analytics environment to support sales and marketing teams. It includes building data pipelines and troubleshooting data issues while collaborating with cross-functional leaders on data-driven solutions.

The Business Analyst will build scalable financial models, conduct complex data analyses, and provide data-driven insights for strategic planning and decision-making.

The Senior Analytics Engineer will manage data infrastructure for finance, ensuring data quality and availability while leading data projects and collaborating with stakeholders for reporting and analysis.

The Senior Analytics Manager will manage analytics reporting, insights, and analysis across teams, ensuring clarity and consistency in metrics while collaborating on performance tracking and methodologies.

The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.

The Senior Data Analytics Engineer will support data analytics projects by creating dashboards, performing trend analysis, and designing data pipelines.