Top Remote Data & Analytics Jobs in Boston, MA

As an SEO Analyst, you will analyze data to improve SEO strategies, provide performance reports, and collaborate with teams to enhance user experiences and brand visibility.

The Strategist III, Value Analytics will own strategic workstreams, revamp dashboards for billing data, conduct analyses, and lead independent projects, improving Cedar's reporting suite.

The SEO Analyst evaluates client SEO performance, conducts keyword research, performs audits, and prepares detailed reports using analytics tools.

Validate, clean, curate, and analyze datasets; perform data quality assurance and monthly operational pipelines; research healthcare topics; manage multiple projects; suggest process improvements and maintain working knowledge of Garner's data processes and infrastructure.

Lead end-to-end data science initiatives: design, deploy, and monitor production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain reliable, scalable machine learning pipelines and monitoring systems.

As a People Team Data Analyst, you'll analyze hiring data to influence recruitment strategies and improve hiring processes, ensuring high data quality and effective communication of insights.

Lead client engagements delivering advanced reporting, analytics, and large-scale historical data migrations into Unanet ERP AE. Design and validate complex SQL, SSRS, and Power BI solutions, mentor junior consultants, use AI-assisted tools for analysis and QA, and manage multiple projects to ensure accurate reconciliation and client outcomes.

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.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Lead enterprise data and analytics strategy and Information Delivery (BI, Data Engineering, Integration, Analytics, Governance). Own end-to-end data lifecycle, operationalize governance and quality, partner with business and AI/ML teams, ensure data security/privacy compliance, and build high-performing data organizations to drive business outcomes.