Remote Data Jobs · US

Job listings

$80,000–$90,000/yr

  • Design and maintain interactive Power BI dashboards, manage SharePoint sites / data repositories.
  • Integrate multiple data sources to provide actionable insights for company executives and contract site leadership.
  • Collaborate with executives and operational teams, applying technical solutions to optimize contract and portfolio management.

  • Provides support to the leadership team to create and oversee the revenue cycle reporting process.
  • Generates data and reports on a regular schedule and provides analysis and insight regarding the data.
  • Assists with special projects within revenue cycle operations as required.

$202,442–$364,395/yr
US 4w PTO

Lead the assessment of new data sources, including coverage, quality, compliance, and commercial potential. Build and deploy statistical, predictive, and machine learning models to extract relevant insights from data. Lead client-facing meetings to present analytical findings, demonstrate product capabilities, and guide solution adoption.

$70,000–$85,000/yr

  • Develop, enhance, and maintain custom and off-the-shelf applications, with a focus on ETL/SSIS processes.
  • Troubleshoot and resolve production issues, identifying root causes and implementing technical solutions.
  • Provide training and guidance to end-users on applications and new system functionality.

$155,000–$185,000/yr

Design, build, and maintain scalable batch and real-time data pipelines that power analytics, experimentation, and machine learning. Partner cross-functionally with analytics, product, engineering and operations to deliver high-quality data solutions that drive measurable business impact. Develop and maintain curated, well-modeled datasets that serve as trusted sources of truth across the organization.

$120,000–$170,000/yr

Deliver recommendations and actionable insights to stakeholders to help drive revenue. Optimize GTM motions using technical and business intuition, ensuring data-driven approaches drive efficiency and revenue growth. Solve complex problems through novel data solutions and analytics, and support the development of predictive models.