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Healthcare Data Analyst

Heartland Whole Health Institute is a non-profit that addresses physical, mental, emotional, and social well-being by working with health systems, employers, and communities to redesign health care delivery.

Job Description:

Job Title: Healthcare Data Analyst

Reporting to: Chief Digital and Informatics Officer

FLSA Classification: Exempt

Location: Bentonville, AR (On-site)

Who We Are

Heartland Whole Health Institute (HWHI) is dedicated to transforming health care – beginning in our home of Northwest Arkansas and scaling to disrupt the national health crisis. We advocate, educate, and guide the implementation of an innovative system, rooted in whole health and the realignment of financial incentives. Our team members are collaborative, analytical, mission-driven, and courageous.

About the Position:

The Healthcare Data Analyst is responsible for analyzing and interpreting complex healthcare data — including Value-Based Care metrics, claims data, and electronic medical records — to support data-driven decision-making, improve patient outcomes, and drive program enhancements. Working closely with the Chief Digital and Informatics Officer, the role plays a key role in transforming raw data into actionable insights that optimize healthcare operations and inform strategic initiatives.  

What You Will Do:

Essential Duties

  • Data Reporting & Visualization:
    • Develop timely, evidence-based analytical reports, dashboards, and visualizations (including charts, graphs, and maps) that advance HWHI’s mission.
    • Prepare detailed data summaries, briefing memos, and visual presentations for internal stakeholders.
  • Data Analysis:
    • Analyze complex healthcare datasets—including Value-Based Care metrics, claims data, and electronic medical records—to identify trends and generate actionable insights.
    • Conduct statistical analyses to assess performance, efficiency, and clinical outcomes, supporting strategic decisions and program enhancements.
  • Data Monitoring & Review:
    • Continuously monitor healthcare data trends to ensure quality and identify opportunities for improvement.
    • Maintain comprehensive documentation and organized records of key data metrics and findings.
  • Stakeholder Engagement:
    • Collaborate with internal teams, state agencies, and healthcare organizations to gather and organize data feedback from end users.
    • Present data-driven insights in a clear, compelling manner to guide operational and strategic improvements.
  • Technical Leadership:
    • Manage and enhance analytical tools and data resources that support the organization’s data-driven decision-making.
    • Advise leadership on data trends, risks, and opportunities through clear and concise communication of findings.
  • Collaboration & Innovation:
    • Work closely with cross-department teams to integrate data insights into comprehensive solutions for patient care and operational improvements.
    • Contribute to a culture of continuous improvement by reporting on project progress and outcomes.
  • Compliance & Confidentiality:
    • Uphold high standards of confidentiality and ensure compliance with relevant state and federal regulations, best practices, and data security protocols in all analytical work.
  • Ad Hoc Analysis & Special Projects:
    • Support special projects and perform additional analyses as needed to address emerging healthcare challenges.
    • Other duties as assigned.

Minimum Qualifications:

  • Education & Experience:
    • Bachelor’s degree in Data Science, Health Informatics, Public Health, Statistics, or a related field. Master’s degree in Health Informatics, Public Health, Data Science, or a related field preferred.
    •  At least three years of experience in healthcare data analysis or a similar role required. Prior work in a healthcare setting or research environment with a focus on Value-Based Care, workforce analytics, or operational improvement preferred.
  • Technical Skills:
    • Proficiency in data analysis and visualization tools such as R, Python, or SQL.
    • Strong command of Microsoft Office Suite especially Excel, Word, and PowerPoint.
    • Experience with data visualization platforms (e.g., Tableau, Power BI) is a plus.
  • Analytical Expertise:
    • Demonstrated ability to analyze complex datasets, generate actionable insights, and clearly document findings.
    • Familiarity with Value-Based Care metrics, claims data, and electronic medical records is highly desirable.
  • Communication & Collaboration:
    • Excellent written and verbal communication skills with the ability to explain technical information to non-technical audiences.
    • Proven ability to manage multiple projects and deliver under tight deadlines.
  • Problem-Solving:
    • A keen interest in addressing complex healthcare challenges with both immediate and long-term impact.

Physical Demands and Work Environment:

The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Physical demandsIn the work environment described, position requires sitting at a desk and utilizing a computer and a telephone for prolonged periods of time and good eye/hand coordination, bending and stretching for filing, and physical stamina to lift and transport a minimum of 10 pounds. Visual acuity to review written materials is required for this job. Additionally, this position requires meeting the public and the organization in a professional and courteous manner.

Work environmentWork is performed full-time (Monday-Friday, 8 a.m.-5 p.m.) in a professional, climate-controlled office environment with standard office equipment, including computers, printers, and telephones. The role requires working in an open setting near colleagues and occasional visits to other office locations or meeting spaces. The noise level is typically low to moderate. A flexible schedule including occasional evening and weekend work hours and some local travel will be required. This position will also require up to 30% travel for implementation and optimization of virtual care platforms.

Average salary estimate

$70000 / YEARLY (est.)
min
max
$60000K
$80000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Healthcare Data Analyst, AWE

At Heartland Whole Health Institute in Bentonville, AR, we are looking for a passionate and skilled Healthcare Data Analyst to join our committed team. As a pivotal part of our mission to transform healthcare, you will collaborate closely with our Chief Digital and Informatics Officer. Your main focus will be analyzing complex healthcare data, including Value-Based Care metrics, claims data, and electronic medical records. You'll turn raw numbers into vital insights that drive improvements in patient care and operational efficiency. In this role, you'll have the opportunity to create engaging dashboards and reports that present data in a way that’s accessible and actionable for stakeholders across the organization. Your keen analytical skills will help identify trends and develop strategic recommendations, which are crucial in informing our healthcare initiatives. Every day, you'll interact with various teams and health organizations, fostering collaboration and gathering valuable feedback. We believe in a culture of continuous growth, so you'll also play a role in enhancing our analytical tools to elevate our data-driven decision-making processes. Here at Heartland Whole Health Institute, we prioritize maintaining compliance and confidentiality, ensuring that we adhere to the highest standards in our analytical work. If you're excited about utilizing your expertise to make a meaningful impact in the healthcare sector, we encourage you to apply for the Healthcare Data Analyst position today!

Frequently Asked Questions (FAQs) for Healthcare Data Analyst Role at AWE
What are the responsibilities of a Healthcare Data Analyst at Heartland Whole Health Institute?

The Healthcare Data Analyst at Heartland Whole Health Institute is tasked with analyzing complex healthcare data, primarily focusing on Value-Based Care metrics, claims data, and electronic medical records. This role involves developing analytical reports and visualizations, monitoring data trends, conducting statistical analyses, and collaborating with various teams to ensure informed decision-making. Your insights will play a critical part in improving patient outcomes and operational initiatives.

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What qualifications are required for the Healthcare Data Analyst role at Heartland Whole Health Institute?

To qualify for the position of Healthcare Data Analyst at Heartland Whole Health Institute, candidates must possess a Bachelor’s degree in Data Science, Health Informatics, Public Health, Statistics, or related fields. A Master's degree is preferred. Additionally, at least three years of experience in healthcare data analysis is required, along with proficiency in data analysis tools like R, Python, or SQL, and strong technical skills with Microsoft Office Suite.

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How can a Healthcare Data Analyst contribute to improving patient outcomes at Heartland Whole Health Institute?

A Healthcare Data Analyst contributes significantly to improving patient outcomes at Heartland Whole Health Institute by analyzing healthcare datasets to identify trends and generate insights that inform strategic initiatives. By conducting statistical analyses and preparing evidence-based reports, they help guide decision-making processes that enhance the efficiency of healthcare delivery and overall patient care.

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What tools and skills are essential for a successful Healthcare Data Analyst at Heartland Whole Health Institute?

Essential tools and skills for a successful Healthcare Data Analyst at Heartland Whole Health Institute include proficiency in data analysis and visualization software like R, Python, SQL, and experience with platforms such as Tableau or Power BI. Strong analytical abilities, attention to detail, and excellent communication skills are also critical to effectively convey technical insights to non-technical stakeholders.

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What type of work environment can a Healthcare Data Analyst expect at Heartland Whole Health Institute?

Healthcare Data Analysts at Heartland Whole Health Institute can expect a professional and collaborative work environment in Bentonville, AR. The role is primarily office-based, offering a climate-controlled setting with standard office equipment. Analysts often work closely with colleagues, and while the noise level is low to moderate, there will be opportunities for local travel and occasional adjustments to working hours for special projects.

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Common Interview Questions for Healthcare Data Analyst
Can you explain your experience with analyzing healthcare datasets?

When answering this question, detail your past projects involving healthcare data analysis. Discuss the types of datasets you've worked with, the techniques you utilized, and the analytical tools you employed. Be sure to highlight specific outcomes that resulted from your analyses to demonstrate your impact.

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How do you ensure data accuracy and integrity while working on healthcare data?

To ensure data accuracy and integrity, describe your approach to data validation, including the methods you use to check for errors and inconsistencies. Discuss how you've implemented quality checks and your experience with documenting data sources and methodologies.

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What visualization tools are you most proficient with and why do you prefer them?

Share your expertise with specific visualization tools like Tableau or Power BI, explaining the features that you find particularly helpful for representing healthcare data. Discuss examples of your work that showcase your ability to create compelling and informative visualizations.

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How do you prioritize multiple projects while handling tight deadlines?

Discuss your project management skills and techniques, such as using scheduling tools or prioritizing tasks based on urgency and impact. Provide real examples where you've successfully met deadlines while juggling multiple responsibilities in a previous role.

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Can you describe a time when your data analysis led to a significant change in policy or practice?

To effectively answer this question, recount a specific instance where your analysis influenced decision-making. Describe the context, the data you analyzed, and how you presented your findings to drive change, emphasizing the results of that change.

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What approaches do you use to communicate complex data findings to non-technical stakeholders?

Explain your approach to simplifying complex information, perhaps by using clear visuals, analogies, or summarizing key points. Provide examples of how you've tailored your communication style to different audiences to ensure understanding and engagement.

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How familiar are you with Value-Based Care metrics?

Discuss your knowledge of Value-Based Care metrics, including specific examples of metrics you've worked with. Explain how these metrics are important for evaluating healthcare efficiency and outcomes, and share how you've utilized them in your previous analyses.

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What statistical methods are you comfortable using in your data analyses?

Outline the statistical methods you are familiar with, such as regression analysis, hypothesis testing, or statistical process control. Provide examples of how you've applied these methods in your previous roles to derive meaningful insights from healthcare data.

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Describe your experience working cross-functionally with other departments.

Share your collaborative experiences, including how you've worked with teams such as clinical operations, IT, or administration. Highlight specific projects where cross-departmental collaboration improved outcomes and emphasize your communication and teamwork skills.

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What challenges do you anticipate in the role of Healthcare Data Analyst, and how would you address them?

Identify potential challenges such as managing data privacy concerns or ensuring data quality. Discuss proactive strategies you would implement, such as continuous education on compliance regulations and best practices to navigate those challenges effectively.

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DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
April 3, 2025

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