Top Remote Senior Level Data & Analytics Jobs in Boston, MA

The role involves managing sales analytics, dashboards, and reporting for the hyperscaler sales team, providing insights and supporting strategic decision-making.

Lead Hometap's data architecture and engineering functions, ensuring data is a strategic asset and managing teams for efficient data governance and operations.

Lead the design and implementation of innovative data models for finance and actuarial use cases, mentoring team members and fostering client interactions.

The Senior Data Analyst will design datasets, build Tableau dashboards, mentor juniors, and enhance analytics processes, driving business insights.

As a Senior Data Analyst, you will translate business needs into data-driven insights, perform strategic analyses, and create visualizations and dashboards using SQL and BI tools.

As a Senior Data Analyst, you will analyze data to inform business decisions, create visualizations, and automate processes while collaborating across departments.

As a Senior Data Analyst at Circle, you'll translate business needs to develop analytics solutions, perform strategic analyses, create visualizations, and communicate insights to support decision-making.

The Senior Manager of Analytics Engineering will lead a team to develop data infrastructures, ensure operational efficiency, and align with cross-functional partners to support strategic decisions.

This role oversees a team that analyzes MetLife's mortgage portfolios, delivers high-impact analytics, and collaborates with various stakeholders for reporting and compliance.

The Sr. Pricing and Monetization Analyst will develop pricing models, conduct market analysis, support deal monetization, and automate KPI dashboards to optimize pricing strategies and revenue.

The Lead Analyst for Operational Strategy will enhance underwriting efficiency by partnering with leadership, leading analysis, optimizing processes, and mentoring junior analysts.

Design and maintain scalable data pipelines, collaborate with cross-functional teams, manage data architectures, optimize Snowflake performance, and enhance data workflows.