Healthcare Data Analyst

Vintti bridges the staffing gap for US businesses with a unique focus on time zone compatibility. We source top talent from Latin America, offering companies access to professionals who are available during standard US working hours. This alignment eliminates the need for off-hour communications and allows for integrated teamwork, as if all team members were in the same office.

A Healthcare Data Analyst plays a crucial role in the medical field by analyzing health data to improve patient outcomes and streamline operations within healthcare organizations. They gather, process, and interpret large sets of clinical data, providing insights that support evidence-based decision-making. Their responsibilities include evaluating trends, ensuring data accuracy, and formulating reports that enhance healthcare strategies. By leveraging advanced analytical tools and techniques, Healthcare Data Analysts help to optimize resource allocation, minimize costs, and improve overall quality of care, making them an indispensable asset in any healthcare setting.

- Bachelor’s degree in Health Informatics, Data Science, Statistics, Computer Science, or a related field.
- Minimum of 2-3 years of experience as a Data Analyst, preferably in a healthcare setting.
- Proficiency in data analysis tools such as SQL, Python, R, or SAS.
- Strong experience with data visualization tools such as Tableau, Power BI, or similar platforms.
- Excellent understanding of healthcare data sources, including electronic health records (EHR), claims databases, and patient surveys.
- Proven experience in data cleaning, validation, and quality assurance processes.
- Strong analytical skills with the ability to interpret complex datasets and derive actionable insights.
- High proficiency in statistical analysis and predictive modeling techniques.
- Strong communication skills, both written and verbal, with the ability to present findings to technical and non-technical audiences.
- Knowledge of healthcare regulations and compliance standards, including HIPAA.
- Ability to work collaboratively with healthcare providers, administrators, and IT teams.
- Strong problem-solving skills and attention to detail.
- Ability to manage multiple tasks and projects simultaneously.
- Demonstrated experience in developing and implementing data collection and analysis protocols.
- Up-to-date knowledge of industry trends and best practices in healthcare data analytics.
- Strong organizational and time-management skills.
- Solid understanding of data privacy and security practices.

- Collect, compile, and clean healthcare data from multiple sources.
- Perform data validation and quality checks.
- Analyze complex datasets for trends, patterns, and insights.
- Develop and maintain dashboards and reports.
- Provide data-driven recommendations for patient care and operational efficiency.
- Collaborate with healthcare providers, administrators, and IT teams.
- Conduct statistical analysis and predictive modeling.
- Prepare and present findings to technical and non-technical audiences.
- Assist in developing data collection and analysis protocols.
- Stay current with industry best practices and regulatory requirements.
- Support ad hoc data requests and special projects.
- Ensure compliance with HIPAA and data privacy standards.

The ideal candidate for the Healthcare Data Analyst position is a highly analytical and detail-oriented professional with a strong foundation in Health Informatics, Data Science, Statistics, or Computer Science, evidenced by a Bachelor’s degree in a related field and a minimum of 2-3 years of relevant experience, preferably within a healthcare setting. They possess advanced proficiency in data analysis tools such as SQL, Python, R, or SAS, and are adept at using data visualization platforms including Tableau or Power BI to create insightful dashboards and reports. Their deep understanding of healthcare data sources—including electronic health records (EHR), claims databases, and patient surveys—enables them to effectively clean, validate, and assure data quality. A proven track record in statistical analysis, predictive modeling, and deriving actionable insights from complex datasets underscores their strong analytical skills. Excellent communication abilities allow them to present sophisticated findings clearly to both technical and non-technical audiences, fostering collaboration across healthcare providers, administrators, and IT teams. This individual is highly organized, capable of managing multiple projects simultaneously, and is committed to maintaining data privacy and security in compliance with HIPAA and other regulatory standards. They exhibit a proactive, self-motivated approach with a strong problem-solving mindset, as well as adaptability to quickly learn new tools and technologies. Their passion for uncovering actionable insights from healthcare data, coupled with a commitment to staying current with industry trends and best practices, positions them as a valuable asset to any healthcare organization.

- Collect, compile, and clean healthcare data from various sources such as electronic health records (EHR), claims databases, and patient surveys.
- Perform data validation and quality checks to ensure accuracy and completeness.
- Analyze complex datasets to identify trends, patterns, and insights relevant to healthcare outcomes and operational efficiency.
- Develop and maintain dashboards and reports to visualize data for stakeholders.
- Provide data-driven recommendations to improve patient care, reduce costs, and optimize healthcare processes.
- Collaborate with healthcare providers, administrators, and IT teams to understand data needs and requirements.
- Conduct statistical analysis and predictive modeling using tools such as SQL, Python, R, or SAS.
- Prepare and present clear, concise findings to both technical and non-technical audiences.
- Assist in the development and implementation of data collection and analysis protocols and standards.
- Stay current with industry best practices, regulatory requirements, and advancements in healthcare data analytics.
- Support ad hoc data requests and special projects as needed.
- Ensure data privacy and security protocols are followed in compliance with HIPAA and other regulatory standards.

- Analytical mindset with a passion for uncovering actionable insights from complex data
- Strong attention to detail and commitment to data quality and accuracy
- Excellent communication skills, both written and verbal
- Ability to present complex data findings in a clear and concise manner
- Proactive and self-motivated with a strong problem-solving ability
- Team player with the ability to collaborate effectively across departments
- Adaptable and able to quickly learn new tools and technologies
- Highly organized with strong time-management skills
- Strong ethical standards and commitment to data privacy and security
- Ability to manage multiple projects and prioritize tasks effectively
- Inquisitive and continuously seeking to stay current with industry trends
- Patient and thorough in performing data validation and quality checks
- Creative thinker with the ability to develop innovative solutions to complex problems
- Dependable and accountable for delivering high-quality work on time

- Competitive salary range (commensurate with experience)
- Comprehensive health benefits (medical, dental, vision)
- Company-sponsored retirement plan (401(k) with employer match)
- Paid time off (PTO) and holidays
- Flexible work schedule options
- Remote work opportunities
- Professional development and training programs
- Tuition reimbursement for relevant coursework
- Career advancement opportunities within the organization
- Wellness programs and resources (e.g., gym membership discounts, mental health support)
- Employee assistance programs (EAP)
- Collaborative and inclusive work environment
- Access to the latest data analysis tools and technologies
- Employee recognition and incentive programs
- Company-sponsored events and team-building activities
- Parental leave policies
- Life and disability insurance
- Transportation and commuting assistance (e.g., public transport pass, parking reimbursement)