Top Remote Senior Level Data Management Jobs

The Sr. Insurance Analyst analyzes complex data to support growth and profitability targets, evaluates market opportunities, and collaborates cross-functionally on insurance products.

The Director of Data will lead the data organization, drive data strategy, oversee the data platform, and ensure high-quality data products across OneImaging, contributing to decision-making in operations and product development.

The Appian Business Analyst will support product development by gathering requirements, conducting workshops, designing data models, and collaborating with various stakeholders.

The Cloud FinOps Engineer will optimize cost efficiency across cloud and IT environments, driving governance and transparency through data analysis and collaboration with engineering and finance teams.

The Power BI Analyst will analyze large datasets, design workflows, create Power BI dashboards, and ensure accurate data transformation processes to support operations and performance tracking.

As a Salesforce Business Analyst, you will drive Salesforce innovation, optimize automation, and support change management processes in a fast-paced environment.

As a Data Analyst, Growth at Kraken, you will analyze complex marketing data to provide actionable insights that enhance client acquisition, retention, and decision-making through data engineering, reporting, and experimentation.

As a Senior Data Engineer, you'll design and build data pipelines, automate processes, and collaborate with business teams to support analytical needs, ensuring data quality and optimization for ML workloads.

The Director of GTM Business Intelligence Analytics will lead the design and implementation of analytics and reporting infrastructure, focusing on sales performance, forecasting, and cross-departmental collaboration to enhance revenue operations.

The Senior Data Analyst is responsible for executing data strategy, analyzing data, documenting requirements, and collaborating with stakeholders to provide insights and validate data quality within the enterprise data platform.