Top Remote Data & Analytics Jobs in Boston, MA

The GTM Data & Automation Analyst will develop and scale data products, automate workflows, and enhance team efficiency through collaboration with sales and marketing teams.

As a Snowflake Data Architect, you will provide ETL support and specialize in Snowflake management, ensuring performance, governance, and optimization of data infrastructures.

Design and implement scalable go-to-market intelligence workflows and automation. Define business requirements for reports and dashboards, partner with Product and Analytics, improve Data Cloud tool adoption, document processes, support integrations, and deliver automation-aligned pre-sales and client-facing materials.

The Staff Data Engineer will design and implement a unified semantic data layer, integrating heterogeneous data sources and enabling AI interactions while ensuring security and compliance across the organization.

Lead analytics for marketing and customer acquisition: build dashboards, design and evaluate A/B tests, monitor conversion funnels, develop multi-touch attribution reporting, migrate reports to new systems, combine structured and unstructured data, and partner across Marketing, Sales, Finance, Operations, Credit, and Technology to turn insights into automated actions.

Lead design and implementation of scalable, HIPAA-compliant data pipelines and platforms for healthcare ML. Build ETL, orchestration, and tooling for processing EHR, claims, pharmacy, and bioinformatics data; collaborate with data scientists to produce modeling-ready datasets and ensure data quality, reliability, and operational excellence.

Design, build, and optimize data architecture and pipelines, ensuring data quality and integrity while supporting advanced analytics and reporting efforts.

As a Senior Data Analytics Consultant, you will manage enterprise client relationships, deliver insights from complex data sets, and optimize digital performance strategies through data analysis.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

The Senior Data Scientist will develop and deploy analytical models supporting marketing strategies, assess campaign effectiveness, and optimize customer engagement strategies, employing advanced data-driven methods and partnering with marketing stakeholders.

The Senior Ad Ops Engineer develops and manages data products for marketing activation, focusing on data pipelines, quality validation, and integration with marketing platforms.

The Senior Data Engineer will build and maintain data pipelines, optimize data processing, and ensure data privacy and quality within the healthcare tech space.

As the founding engineer of the Data Intelligence team, you will design semantic layers, develop AI tooling, and automate data processes to drive business insights.