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Business​/Data Analyst

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: US Acute Care Solutions
Full Time position
Listed on 2026-09-30
Job specializations:
  • IT/Tech
    Data Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 68000 - 126000 USD Yearly USD 68000.00 126000.00 YEAR
Job Description & How to Apply Below

Job Posting Closing Date: Open until Filled

Where do you belong?

Your career is more than just a job, it’s part of your life. Whether you’re a clinician, or non-clinical professional, at USACS you’ll feel a sense of connection working with clinicians and office staff who share your interests and values. We want you to love coming to work each day because you believe in what you do and the people with whom you work.

We care about your success.

USACS also understands that location is important. We offer career opportunities for clinicians and non-clinical support staff from New York to Hawaii and numerous points in between. Our supportive culture, outstanding benefits and competitive compensation package is best in class.

Job Description

The Clinical Informatics Analyst will support the Operation Analytics & Clinical Informatics department by translating business needs into analytical solutions that improve healthcare delivery, operational efficiency, and clinical outcomes. This role involves gathering and analyzing healthcare data, developing data models and reports, and working cross-functionally to identify actionable insights. The analyst will collaborate with clinical, operational, and technical teams to deliver data-driven solutions that align with the organization’s strategic goals.

ESSENTIAL JOB FUNCTIONS:
  • Evaluates information gathered from multiple sources, reconciles conflicts, decomposes high-level information into details, abstracts up from low-level information to a general understanding, and distinguishes user requests from the underlying true needs.

  • Collaborates with clinical and operational stakeholders to define business needs and translate them into detailed data and reporting requirements.

  • Collects, analyzes, and interprets healthcare and operational data from multiple sources, identifying trends, anomalies, and opportunities for improvement.

  • Develops reports, dashboards, and visualizations using tools such as SQL, Excel, Power BI, or Tableau to support decision-making across departments.

  • Works with data engineering and IT teams to validate data pipelines and ensure the integrity, quality, and consistency of data.

  • Supports data governance and standardization efforts within the department to ensure consistent definitions and usage of healthcare metrics.

  • Facilitates meetings, workshops, and presentations with key stakeholders to share findings and gather feedback.

  • Creates clear documentation of analytical methods, data sources, and assumptions to support reproducibility and transparency of analysis.

  • Conducts root cause analysis on variances in clinical or operational performance.

  • Participates in the planning, development, and deployment of new analytics initiatives, tools, and solutions.

  • Stays up-to-date with trends in healthcare analytics, informatics, and regulatory reporting to ensure alignment with industry standards.

KNOWLEDGE, SKILLS AND ABILITIES:
  • Knowledge of and experience in software development with special focus in Enterprise Data Warehousing.

  • Excellent communication, professional, organizational, and interpersonal skills.

  • Proven analytical, planning, problem-solving, and decision-making skills.

  • Solid understanding of healthcare operations, clinical workflows, or population health data.

  • Strong SQL skills and familiarity with querying complex datasets from data warehouses or clinical data repositories.

  • Proficiency in data visualization and reporting tools such as Power BI or similar platforms.

  • Ability to communicate effectively with clinical and non-clinical stakeholders and translate data into actionable insights.

  • Knowledge of healthcare terminologies (ICD, CPT, DRG, LOINC, etc.) and data standards (HL7, FHIR) is preferred.

  • Strong analytical mindset with attention to detail and…

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