Top Analytics Engineer Jobs in Boston, MA

The Analytics Engineer at WHOOP will develop and optimize data models and pipelines to support financial processes, ensuring data accuracy and integrity. Responsibilities include collaborating with finance teams, implementing data quality standards, and providing technical support for finance-related projects.

The Lead Analytics Engineer will develop and optimize data analytics frameworks, mentor team members, strategize analytics engineering initiatives, manage multiple projects, implement ETL processes, and ensure data accuracy while collaborating with cross-functional teams.

As an Analytics Engineer, you will create data modeling solutions, automate analyses, and collaborate with various stakeholders to improve data-driven processes and enable self-service analytics. You'll ensure data validity and usability while enhancing end-user data literacy through training.

As a Data Analytics Engineer, you will build and enhance data architecture for marketing analytics, supporting sales campaigns, optimizing strategies, and implementing machine learning models to predict customer behavior and improve engagement. You will also collaborate with data science teams and present findings clearly to stakeholders.

As a Senior Analytics Engineer, you will design and maintain data models, collaborate with Data Engineering and Data Science teams, and manage the analytics platform. You'll utilize tools like dbt and Snowflake to deliver high-quality data products that enhance decision-making and ensure data governance standards are met.

The Senior Analytics Engineer will create and maintain backend data models to provide foundational data for Go-To-Market analytics. Responsibilities include developing actionable insights, implementing data governance, monitoring ETL pipelines, managing data scale, ensuring data quality, and collaborating across various departments.

The role involves leading Tableau dashboard development for HR analytics, partnering with stakeholders to understand data needs, and improving self-service dashboards based on feedback. Responsibilities include data forensics to identify issues and trends, data literacy training, and collaboration with technical teams to enhance the data warehouse capabilities.

As a Staff Engineer, you will enhance the Data & Analytics platform, leading high-priority projects and providing technical leadership. Responsibilities include designing scalable systems, addressing reliability risks, and collaborating with teams to meet product requirements. You’ll mentor engineers and guide architectural decisions for data ingestion and processing systems.