AMN Healthcare-posted 10 days ago
$116,000 - $138,000/Yr
Full-time • Mid Level
Hybrid • Atlanta, GA
1,001-5,000 employees

We are seeking a highly skilled and strategic thinker to join our team as a Senior Data & Business Intelligence Strategist. This hybrid role blends the analytical rigor of a data scientist with the business acumen of a senior BI analyst. The ideal candidate will be instrumental in designing and deploying predictive models that forecast client behavior and internal performance trends, driving data-informed decision-making across the organization.

  • Design and implement custom predictive models to identify future trends in client engagement, financial performance, and operational efficiency.
  • Apply statistical and machine learning techniques to forecast revenue, retention, and market dynamics.
  • Aggregate and harmonize data from disparate sources including ERP, CRM, operational databases, and external datasets.
  • Develop and maintain centralized data warehouses and pipelines to support scalable analytics.
  • Build and optimize BI dashboards and reporting tools using platforms like Power BI.
  • Deliver near real-time insights to stakeholders, enabling agile responses to market and operational shifts.
  • Translate complex data into actionable business strategies.
  • Collaborate with cross-functional teams—including product, finance, operations, and client services—to align analytics with organizational goals and KPIs.
  • Champion the use of AI-powered prompts and tools to democratize data access and reduce reliance on manual query writing.
  • Mentor team members on advanced analytics techniques and best practices.
  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or related field.
  • 5+ years of experience in data science, business intelligence, or analytics roles.
  • Proven track record of developing predictive financial models and delivering strategic insights.
  • Proficiency in Python, R, SQL, and Power BI.
  • Experience working with large, complex, and disparate data sources.
  • Strong understanding of statistical modeling, machine learning, and data visualization.
  • Excellent communication skills and ability to present findings to non-technical stakeholders.
  • Demonstrated success in working collaboratively with cross-functional teams to achieve strategic goals.
  • Experience in healthcare and/or language services.
  • Familiarity with AI-driven analytics platforms and prompt-based data exploration.
  • Knowledge of compliance and regulatory frameworks such as HIPAA, SOC2, etc.
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