Analytics Engineer jobs in Boston, MA

The Analytics and Insights Engineer III designs and executes analyses to address client business questions across paid, owned, and earned channels. They are responsible for developing measurement frameworks, performance reporting, and deploying experimentation strategies using various data tools.

The Principal Business Intelligence Lead will own and elevate autonomous vehicle performance reporting for executive leadership, including the weekly Software Performance Review. They will architect automated reporting pipelines and mentor junior engineers to improve data visualization and storytelling standards across the organization.

Design and optimize robust ETL/ELT pipelines to integrate diverse HR data into a scalable analytics platform. Develop and govern secure data models to provide actionable insights for the employee lifecycle.

Design, build, and support secure, scalable cloud data pipelines and system integrations for analytics, reporting, and AI use cases. Improve pipeline performance and data quality, support production stability and incident resolution, and collaborate with business and technical stakeholders on architecture and delivery.

Provide senior technical leadership for Analytics Engineering, shaping data foundations, modeling standards, architecture, governance, quality, tooling, and developer experience. Build trusted canonical datasets, semantic layers, and AI-enabled analytical tools that support self-service analytics and improve decision-making across the company.

Own canonical data models and KPI definitions for payments, billing, subscriptions, identity, and Trust & Safety across Scribd, Everand, and Fable. Improve data quality, observability, and lineage; build AI tools on certified data; and set technical standards while influencing partners and mentoring colleagues.

The Senior Manager will lead the design, development, and delivery of data products, analytics solutions, and AI-powered applications for the Asset Management Distribution organization. They will partner with cross-functional teams to drive growth and productivity through scalable data pipelines and intelligent business insights.

The Analytics Engineer will own the analytics engineering process, building and optimizing data pipelines and architecture to transform raw data into reliable, analytics-ready models. They will partner with cross-functional teams to define KPIs, implement data quality standards, and ensure scalable data delivery.

The engineer will translate customer experience objectives into Qualtrics XM solution designs, including survey architecture, data models, and workflow configurations. They will also build secure integrations between Qualtrics and enterprise platforms while analyzing feedback data to support stakeholder reporting.