Top Analytics Engineer Jobs in Boston, MA

As a Lead Analytics Engineer, you will build data products, collaborate with stakeholders, drive technical excellence, and mentor junior engineers.

As a Senior Data Analytics Engineer, you will design data models, collaborate across teams, improve data infrastructure, mentor others, and lead complex analytics projects to drive business outcomes.

The Lead Analytics Engineer will design and implement data models, standardize semantic layers, enhance data quality, and mentor other engineers while ensuring compliance with healthcare standards.

The Staff Analytics Engineer will bridge data engineering, data science, and business analytics, building data solutions, enabling data-driven decisions, and collaborating with cross-functional teams to optimize business metrics.

The Analytics Engineer will enhance the People Data Warehouse, model data, partner with stakeholders, and ensure data integrity for decision-making.

The Staff Analytics Engineer will model and organize data, develop scalable data models, lead analytics projects, and collaborate across teams to enhance data-driven decision-making.

The Data Engineer will design and build data solutions, develop ELT jobs, ensure data quality, and collaborate with technical teams to align data strategies with business goals.

The Analytics Engineer will manage BI modeling, create dashboards, ensure data quality, and collaborate with customers and teams for reporting needs.

The Analytics Engineer will transform data into actionable insights, collaborating across teams to establish metrics, build data models, and create dashboards for improved business performance.

The Analytics Engineer will define strategic objectives, prototype data models using dbt, ensure data accuracy, and collaborate with teams for data requirements.

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

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.

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

As an Analytics Developer, you'll analyze complex data using SQL, Python, and Excel, build analytics solutions, and present insights to stakeholders.

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.

The Data & Analytics Engineer will model and serve data, improve architecture, and collaborate with teams to sustain the data strategy, requiring 5+ years of experience.

The Sales Analytics Engineer will collaborate with sales teams to provide analytics, develop forecasting models, and create scalable insights tools.

As a Senior Analytics Engineer, you will bridge data engineering and analytics, creating scalable data solutions while collaborating with stakeholders to drive data-driven decisions and improve business value.

The Senior Data Analytics Engineer will own the data ecosystem, manage pipelines, support AI/ML initiatives, and translate business goals into technical requirements. They will also ensure data reliability and optimize performance across analytics platforms.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

The Analytics Engineer will architect and maintain Rollstack's data stack, build data pipelines, normalize data, and support analytics for product and GTM teams.

As an Analytics Engineer, you will develop and maintain analytics platforms, support data collection and orchestration, and improve code quality through best practices. You will collaborate with product teams and participate in on-call support for production services while engaging in a collaborative workplace culture.

The Analytics Engineer will support Finance and Accounting operations, focusing on data model development, platform optimization, technology adoption, problem-solving, and collaboration to drive data-driven business decisions.

As a Data Analytics Engineer at dv01, you'll manage data pipelines, write production-ready code, and collaborate with analysts and clients, leveraging modern technologies to optimize data for the financial market.

Lead the development of programmatic signals analytics for Netflix Ads, creating metrics and dashboards for optimizing audience targeting and ROI.