Data Quality Analyst at HealthTrust
Nashville, TN 37203, USA -
Full Time


Start Date

Immediate

Expiry Date

24 Oct, 25

Salary

0.0

Posted On

25 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Expenses, Python, Supply Chain, Computer Science, Cost Savings, Information Systems, Health Systems, Purchasing Power, Etl, Sql, R, It, Collaboration, Color

Industry

Hospital/Health Care

Description

INTRODUCTION

Do you have the career opportunities as a Data Quality Analyst you want with your current employer? We have an exciting opportunity for you to join HealthTrust which is part of the nation’s leading provider of healthcare services, HCA Healthcare.

JOB SUMMARY AND QUALIFICATIONS

The Data Quality Analyst will be responsible for maintaining and improving the accuracy, completeness, and consistency of data used in the healthcare supply chain. In this role, you will collaborate with cross-functional teams and ensure that data is collected, analyzed, and reported in a timely and accurate manner. You will be responsible for identifying and resolving data quality issues and developing strategies to prevent data quality problems from occurring in the future and work closely with stakeholders to ensure that the data being used is accurate and meaningful.

REQUIREMENTS

  • Bachelor’s degree in computer science, information systems, or related field, required.
  • 1+ year(s) of experience in data quality management, preferably in a healthcare supply chain setting, required.
  • Strong analytical and problem-solving skills, required.
  • Experience managing multiple projects successfully, required.
  • Strong attention to detail, required.
  • Knowledge of healthcare supply chain data sources and standards, preferred.
  • Understanding of data quality concepts and best practices, preferred.
  • Experience with data management tools and technologies such as SQL, Python, R, and ETL, preferred.
    In today’s challenging business environment of cost pressures, supply disruptions, and workforce shortages, it is crucial for providers to efficiently manage expenses and enhance performance. HealthTrust, in collaboration with 1,800 hospitals and health systems, offers a specialized group purchasing organization (GPO) membership model designed to deliver immediate and sustainable cost savings. Their team of experts provides tailored value acceleration engagements to address specific needs, delivering unparalleled benefits. With nationwide purchasing power and a focus on overall spending management, HealthTrust offers unmatched pricing advantages on supplies, along with industry-leading benchmarks and best practices. The dedicated team is committed to guiding and implementing performance enhancements in cost, quality, and outcomes.
    HCA Healthcare has been recognized as one of the World’s Most Ethical Companies® by the Ethisphere Institute more than ten times. In recent years. HCA Healthcare spent an estimated $3.7 billion in costs for the delivery of charitable care, uninsured discounts, and other uncompensated expenses.
    “Bricks and mortar do not make a hospital. People do."- Dr. Thomas Frist, Sr.
    HCA Healthcare Co-Founder
    If you are looking for an opportunity that provides satisfaction and personal growth, we encourage you to apply for our Data Quality Analyst opening. We promptly review all applications. Highly qualified candidates will be contacted for interviews. Unlock the possibilities and apply today!
    We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
Responsibilities
  • Support and uphold data quality policies, procedures, and standards for the healthcare supply chain organization.
  • Analyze and support data quality assurance activities to ensure data accuracy, completeness, consistency, and timeliness across all data sets.
  • Collaborate with cross-functional teams to identify, resolve and prevent data quality issues, including data cleansing, data enrichment, and data normalization.
  • Support the development of data quality metrics and reports to measure and report on data quality performance.
  • Perform root cause analysis of data quality issues and provide recommendations for improvement
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