Top Analytics Engineer Jobs in Boston, MA

The Senior Data Engineer at Brattle will define data solutions, mentor junior members, and deliver complex projects using Python, SQL, and Azure, ensuring best practices and scalability in data engineering.

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

The Lead Analytics Engineer will model revenue, specifically subscription revenue, manage financial KPIs, and ensure reconciliation with source systems like Stripe, while adhering to data governance standards.

As an Analytics Engineer, you will design and maintain SQL models for on-chain data, work with transformation tools, and collaborate with engineers on data pipelines.

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 Engineer will build a data platform, manage data pipelines, translate data needs for Marketing, and ensure data integrity.

This role involves leading AI projects, designing and deploying AI systems, collaborating with stakeholders, and developing tools to enhance efficiency in healthcare applications. The engineer will mentor junior members and iterate on prototypes until widely adopted.

As a Senior Analytics Engineer, you'll build data pipelines and dashboards, partner with stakeholders for KPI development, and ensure data quality across the company.

Design, document, and deploy certified data models and datasets; partner with SMEs and analysts to define and automate business metrics; optimize queries and pipelines; ensure data reproducibility, auditability, and enable self-service analytics across the company.

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 Support Solutions Engineer is responsible for monitoring and resolving customer requests, automating support needs, and improving support tools while advocating for customer experiences in data platform infrastructure.

The Analytics Engineer will design datasets, metrics, and dashboards for the Ads business, conduct analyses, and drive projects to solve business problems.

The Senior Analytics Engineer will lead data model development, support AI tools, maintain data architectures, and deliver analytics to drive strategic insights.

Design and maintain ELT pipelines, build dimensional (star/snowflake) analytics models, implement data transformations and quality checks, document data lineage and governance, partner with BI users, and mentor junior engineers to deliver performant analytics for business reporting and KPIs.

Design, build, and maintain ELT pipelines and analytics-ready data models to support reporting, KPIs, and downstream ML use cases; implement data quality, optimize pipeline performance, document lineage, and ensure governance and privacy.

Design and maintain ETL pipelines and graph data models to ingest security telemetry into an AWS Neptune knowledge graph, enable ML-driven threat detection, optimize query performance, ensure data quality and compliance, and document workflows.

The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.

The Senior Analytics Engineer will create scalable data systems, ensure data quality, support cross-functional teams, and communicate insights effectively.

As a Senior Analytics Engineer, you will design data pipelines, develop user-friendly dashboards, and provide insights to help improve healthcare delivery.

As a Senior Analytics Engineer, you will design metrics, perform deep-dive analyses, and automate reporting while collaborating with partner teams.

As a Senior Software Engineer on the Graph Analytics team, you'll design and implement algorithms for analyzing cryptocurrency transaction networks and collaborate with data scientists and engineers to enhance risk models.

The Senior Data Engineer will design and implement scalable graph systems for analyzing cryptocurrency transactions, collaborating closely with cross-functional teams to build algorithms and integrating diverse data inputs while communicating effectively with both technical and non-technical stakeholders.

As a Senior Analytics Engineer, you will create business intelligence tools using SQL and dbt, develop dashboards, and collaborate with teams to improve data-driven decision-making.

In this role, the Senior Data Systems Analyst will master the data pipeline architecture, contribute to infrastructure improvements, solve complex data challenges, and build partnerships within the company to enhance data systems.

As a Senior Software Engineer at AdQuick, you will develop data-intensive analytics systems, manage data pipelines, and create visualizations to drive insights for OOH advertising.