Top Analytics Engineer Jobs in Boston, MA

Design, build, and maintain Power BI datasets, dataflows, ETL processes, dashboards, and data models. Serve as SME for Microsoft Power Platform, integrate with Snowflake/Databricks/SQL, automate workflows with Power Automate/Apps, analyze data to deliver insights, and ensure data quality and governance.

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 Analytics Engineer will develop and manage dbt models and SQL queries, collaborate with stakeholders, ensure data quality, and support data analysis. They'll translate business needs into technical data solutions and maintain clear communication with diverse teams.

As a Senior Data & Analytics Engineer, you'll lead data initiatives, manage a team, and ensure data quality while turning insights into actionable decisions across the company.

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.

The Analytics Engineer will own and optimize the DBT analytics pipeline, enhance data models, ensure data accuracy, and innovate solutions while collaborating with stakeholders.

The Senior Analytics Engineer collaborates with product managers and data teams to develop analysis tools, metrics, and frameworks that enhance media production efficiency and strategy at Netflix.

Architect, build, and maintain scalable ELT data pipelines and analytics-ready data marts. Lead dbt modeling, ensure data quality, CI/CD, and documentation. Partner with stakeholders, mentor junior engineers, evaluate tooling (reverse ETL), and drive long-term data platform strategy.

Lead design and optimization of analytics products and Tableau dashboards, manage and tune reporting data pipelines (Redshift/ETL), implement performance best practices, collaborate cross-functionally, and drive automation and AI opportunities to improve reporting and analytics for healthcare customers.

The Principal Analytics Engineer leads customer-centric B2B analytics and ML products, ensures scalable design, and collaborates across teams to solve complex problems.

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.

As a Staff Analytics Engineer, you'll design and maintain a robust analytics data layer, ensuring accuracy in R&D data and mentoring team members.

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 Lead Analytics Engineer drives scalable data solutions, enhances data strategy, and leads technical initiatives while mentoring the analytics team.

The Analytics Engineer will develop scalable data models, collaborate with business teams, and ensure data quality, while empowering stakeholders with tools and training.

As a Payment Analytics Engineer, you will ensure data consistency in payments, automate reporting, analyze interchange data, and collaborate with Engineering for data management.

The Product Analytics Developer will build scalable data pipelines, manage data models, ensure data quality, and provide analytical insights to support the Product team.

You will provide expertise in multi-asset class risk analytics, support sales efforts by demoing products, and enhance solutions based on client feedback.

In this role, you will enhance analytics workflows, mentor peers, drive data product improvements, and use AI tools for automation in Corporate Finance.

The Senior MLOps Engineer will enhance and maintain centralized AI platforms, ensuring high availability, integrating advanced AI tools, and automating processes. The role emphasizes collaborative problem-solving and requires extensive experience in cloud environments and machine learning model management.

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

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 Staff Product Analytics Engineer, you will build and maintain data infrastructure, collaborate across teams to enhance product data use, and develop tools for data self-service.

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

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.