Top Analytics Engineer Jobs in Boston, MA

The Analytics Engineer will support business stakeholders by creating data models, integrating new data sources, and collaborating with teams to improve analytics and reporting capabilities.

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.

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

As a Staff Analytics Engineer, you will build scalable data solutions, transform raw data into insights, and collaborate with engineering and business teams. Responsibilities include developing data models, optimizing ETL pipelines, and delivering actionable insights to stakeholders.

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 implement a scalable analytics infrastructure, design core data models, and collaborate cross-functionally to enhance business decision-making.

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

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.

As an Analytics Engineer II, you'll develop data infrastructure, support pipelines, and enhance data accessibility while collaborating with various teams at Ophelia.

The Data Analytics Engineer will develop data models, create dashboards, maintain data pipelines, and collaborate with various teams to improve analytics practices.

As a Senior Analytics Engineer, you'll design metrics, generate insights through analysis, and collaborate with teams to optimize ad performance and analytics tools.

The Enterprise Performance Analytics Engineer builds and maintains data pipelines and models, ensuring data quality and efficient reporting for analytics teams.

As an Analytics Engineer, you will enhance the data stack, create self-serve analytics, integrate sources into BigQuery, and develop dashboards with strategic insights.

As an Analytics Engineer, you will lead the design and optimization of scalable data pipelines and models, ensuring the monetization of data. You'll also mentor team members and collaborate on data strategy with cross-functional teams.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

The Detection Engineer will enhance OT security by cataloging assets, developing detection logic, troubleshooting configurations, and conducting research on PCAPs in collaboration with engineering teams.

The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.

As an Analytics Engineer, you will lead data solutions, develop analytics pipelines, design impactful dashboards, and own data products to guide business decisions.

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

Lead analytics initiatives for PlayStation Studios, focusing on marketing and publishing decisions, and improve data models for game performance insights.

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

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

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