Top Analytics Engineer Jobs in Boston, MA

As a Staff Analytics Engineer, you will bridge data engineering, data science, and business analytics to generate actionable insights, build data models, and empower stakeholders across the organization.

Design, build, and operationalize cloud-based data pipelines and transform raw data into analysis-ready datasets. Collaborate with business, analytics, and engineering teams to develop data models, automate data preparation, and document transformations. Support Power BI models and dashboards, improve data accessibility and reliability, and mentor peers while exploring new data technologies and automation techniques.

Assist in developing and maintaining data pipelines and models, conduct data wrangling, and support dashboard creation. Ideal for university students eager to learn.

Build and own end-to-end sales data pipelines and curated marts in Snowflake/dbt; implement monitoring, tests, and governance; run reverse-ETL to operational systems; partner with Sales, Ops, Finance, and People to deliver production-ready analytics products.

Lead and support process design and optimization projects in pharmaceutical manufacturing, utilizing data analysis to improve safety, efficiency, and product quality.

The Associate Consultant will work on manufacturing process design, optimization, and scaling in the biotech sector, conducting data analyses and supporting client presentations.

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

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.

Design, build, and maintain ELT pipelines and semantic models in BigQuery using Fivetran and Airflow. Develop LookML, maintain the semantic layer and data documentation, own event instrumentation with Segment, ensure data integrity, and deliver dashboards and analyses to stakeholders.

The Senior Analytics Engineer will build and maintain reliable compensation data systems, ensuring data integrity and governance, while partnering with leadership to drive better employee experiences and optimizing compensation processes.

The Senior Analytics Engineer role involves designing data models, optimizing data pipelines, collaborating with teams, and translating business requirements into actionable insights, driving commercial value from data.

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

The Senior Analytics Engineer will design scalable data models, collaborate with teams to create analytics pipelines, and implement data governance best practices.

The Analytics Engineer will build reliable data models, manage ETL workflows, and support Sales and Customer Success with actionable insights from data. Responsibilities include creating dashboards, designing metrics, and owning data pipelines and quality testing.

The Sr. Analytics Engineer will design and maintain analytics data for marketing insights, transforming raw data into usable datasets while collaborating with teams to ensure data integrity and scalability.

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 Staff Analytics Engineer builds data workflows, ensures data integrity, resolves customer issues, and develops insights products, leveraging SQL and Python skills.

Lead the development of scalable analytics solutions for content distribution, create metrics and dashboards, and collaborate with cross-functional partners.

The Staff Analytics Engineer is responsible for defining, modeling, and governing the enterprise data layer, ensuring accurate and auditable reporting across the organization. Key tasks include managing data contracts, enforcing data quality standards, and collaborating with multiple teams to maintain a consistent data model.

Lead the architecture and development of data ecosystems and analytics capabilities, optimizing data products for customer insights and decision-making.

Design and maintain BI solutions and Looker dashboards for B2B products, analyze content licensing and contributor costs, automate reporting, collaborate with Product/Finance/Partnerships to deliver actionable insights and partner-facing reports.

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.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

Design, build, and maintain the analytics layer and data models using Data Vault methodology. Develop ETL pipelines, optimize data warehouse performance and cost, collaborate with stakeholders, and support BI and data science consumption (DBT, Snowflake, Tableau/Power BI).

The Analytics Engineer will build data models and pipelines, ensure data quality, and enable self-service analytics across the organization.