Top Remote Data & Analytics Jobs

The Data Analyst II is responsible for handling complex data requests and predictive data modeling related to health management programs, including data collection, validation, outcome measurement, and trend analysis. The role involves creating reports, executing data changes, and assisting with training for lower-level analysts.

As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.

As a Salesforce Analyst at Wiz, you will gather business requirements, recommend systems solutions, document needs for technical tasks in Jira, and manage feature launches and communications. You will collaborate with teams to enhance productivity and data accuracy, ensuring Salesforce aligns with business needs while maintaining data integrity through audits and quality control procedures.

The Senior Researcher will support evaluation projects by managing research tasks, developing reports and data visualizations, analyzing data, and collaborating with teams to meet client needs. This includes leading evaluation studies in areas like emergency preparedness, providing quality checks, and contributing to proposals while balancing multiple projects.

The Research Analyst will support evaluation projects focusing on emergency preparedness and public safety by collecting and analyzing data, contributing to research designs, and creating presentations and reports. They will work collaboratively with teams and manage client relationships.

The Data Engineer will design and build data products including data lakes and repositories, participating in all stages of data pipeline development and working closely with cross-departmental stakeholders.

The Lead Credit Analyst will conduct trend and portfolio analysis, optimize underwriting and credit decision-making, and collaborate with Analytics and Data Science teams. This role involves mentoring team members and promoting a data-driven culture.

As a Staff Analytics Engineer at Amplify, you will work within data analytics teams to create data models and metrics, enhance processes, and provide insights for educators. Your responsibilities include building analytical models, ensuring data privacy while analyzing performance, and collaborating with data specialists to enhance data practices.