Top Analytics Engineer Jobs in Boston, MA

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

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

As an Analytics Engineer, you will design, build, and maintain data models and pipelines, collaborating with Data Engineering and Data Science teams to transform data into actionable insights while ensuring data quality and governance.

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

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.

As a Staff Analytics Engineer, you'll architect and implement scalable data solutions, lead the analytics strategy, and mentor junior engineers, optimizing data processes and delivering insights that influence business growth.

As a Senior Software Engineer, you will lead the design and implementation of scalable data pipelines, mentor engineers, and collaborate with cross-functional teams to enhance AI and analytics data for product features.

Lead the design and implementation of marketing analytics infrastructure, mentor team members, and ensure data safety while contributing to cross-organizational initiatives.

The Senior Analytics Engineer focuses on building and managing people data solutions to enhance employee experience and organizational health, creating reliable data products, and partnering with leadership to inform decisions.

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 role focuses on developing data solutions using code-based environments and BI tools, collaborating with business partners, and ensuring data quality and observability.

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.

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

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.

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.

The Analytics Engineer will build analytical frameworks to enhance identity experiences at Netflix, collaborating across teams to ensure data quality and drive insights.

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 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 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.

The Analytics Engineer will design and optimize data models, collaborate with stakeholders, ensure data quality, and maintain data infrastructure for decision-making support.