Top Remote Data & Analytics Jobs in San Antonio, TX

The Director of Data and Analytics will lead and grow the data function, overseeing team development, strategic execution, governance, and data integrity in a healthcare-focused environment.

The Sr. Business Operations Analyst will analyze healthcare claims data, support implementations, gather requirements, and identify operational efficiencies while ensuring compliance with regulations.

The Actuarial Specialist produces analyses, manages projects, and oversees team workload to enhance actuarial processes in the organization, ensuring business growth and profitability.

The role involves identifying user friction points through data, maintaining KPIs, developing an analytical roadmap, and collaborating with cross-functional teams to enhance product experience. The manager will also mentor a team focused on technical excellence and accountability.

As a Supervisor in Analytics, you will lead media analytics projects to generate insights and support client decisions, managing analytics teams and client communications effectively.

The Data Entry Assistant is responsible for maintaining data accuracy, performing quality checks, and managing electronic files in a remote work setting.

The Data Architect will optimize Skillable's data ecosystem, design secure solutions, mentor teams, and drive AI adoption for enhanced decision-making.

Provide statistical leadership for oncology Phase I-III trials: develop SAPs/protocols/CSRs, design efficacy and safety analyses, oversee SDTM/ADaM datasets and TLFs, support interim/DMC and adaptive analyses, contribute to regulatory submissions, and mentor junior statisticians.

The Data Migration Specialist will oversee the migration of customer data from legacy systems into Prospyr, ensuring data accuracy and reliability through validation, QA checks, and collaboration with cross-functional teams to support customer onboarding and go-live processes.

Design and build Spark ETL pipelines on an AWS data platform, collaborate with stakeholders to deliver reliable large-scale data products, optimize and maintain data infrastructure, ensure data quality/governance, and manage platform operations and incident response.