Population Health Analyst at Steneral Consulting

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Job Description

<div>
 Remote
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 <ul>
  <li>
   Interview Process: Either Webcam Interview or In Person
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   *This is a remote position for the duration of the engagement. If the candidate is local they'd like him or her to come onsite to collect equipment. If not, they will ship the candidate the equipment.
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   <br/>
  </li>
 </ul>
 <strong>
  Need Candidates coming from healthcare Background/Domain
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 </strong>
 <strong>
  Looking for an SME with at least 10 yrs. of experience in healthcare, specifically in population health.
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 </strong>
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  Candidates with exp. in ETL &amp; SAS development will be given preference.
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 </strong>
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  Candidates With Prior State Exp. STRONGLY Preferred.
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 </strong>
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  Although this is a remote role, the client prefers candidates from North Carolina.
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 </strong>
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  Candidates MUST Have Great Communication Skills.
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 </strong>
 <strong>
  Please submit the skills matrix and the address proof with your resumes.
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  <br/>
 </strong>
 <strong>
  We are
 </strong>
 currently seeking a
 <strong>
  Population Health Analyst
 </strong>
 for a long-term contract opportunity with one of our direct clients in
 <strong>
  Raleigh, NC
 </strong>
 .
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 <strong>
  Responsibilities
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 </strong>
 <ul>
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   Work in partnership with stakeholders to ensure the HealthConnex delivers quality outbound services, including pandemic response efforts with the Public Health and quality reporting.
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   Engage key stakeholders including Medicaid and other agencies to align deliverables;
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   Collaborate in the development and implementation of population health systems, dashboards, and data exchanges;
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   Support the HIEA&rsquo;s work to become DAV (Data Aggregator Validation) certified in partnership with Medicaid.
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   Work with potential external partners on use-case reviews and drive successful delivery on approved use-cases that align with the mission
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   Provide subject matter expertise (SME) in clinical data and electronic healthcare data such as ADTs and CCDS.
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   Support Medicaid patient linking/patient matching projects.
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   Understand and take initiative on emerging standards and requirements at both state and federal levels of Medicaid.
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   Understand major health plan quality and performance measurements including domains of care.
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  </li>
 </ul>
 <strong>
  Required Skills
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 </strong>
 <ul>
  <li>
   5 Years - Strong business analysis skills and research capabilities;
  </li>
  <li>
   5 Years - Ability to lead business requirements development including data and process models, ability to translate business requirements into clear and concise language and system specifications; strong working knowledge of relational databases in a client server environment,
  </li>
  <li>
   5 Years - Experience with the exchange of healthcare data to support care management and value-based models of care
  </li>
  <li>
   5 Years - Knowledge of clinical coding systems such as CPT, LOINC, and ICD-10
  </li>
  <li>
   5 Years - Ability to work independently with minimal supervision
  </li>
  <li>
   5 Years - Strong communication skills with ability to communicate with cross functional teams and all levels of the organization including IT executives, business managers and other technical staff; strong experience with analytical tools and techniques,
  </li>
  <li>
   5 Years - Experience with systems/software development lifecycle including planning, development, testing, and deployment
  </li>
  <li>
   5 Years - Knowledge of Microsoft Office Tools, specifically Microsoft Project, Visio, Excel and PowerPoint.
  </li>
  <li>
   3 Years - Experience working with electronic health record data
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   <br/>
  </li>
 </ul>
 <strong>
  Desired Skills
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  <br/>
 </strong>
 <ul>
  <li>
   5 Years - A strong understanding of population health monitoring; experience with Admission, Discharge and Transfer (ADT) monitoring
  </li>
  <li>
   5 Years - Experience with statistical and analytical software in the development of advanced reporting and analytics for health care.
  </li>
  <li>
   10 Years - Experience with web-based applications and database management systems;
  </li>
  <li>
   10 Years - Experience with SAS development tools such as SAS Visual Studio and SAS Enterprise Guide
  </li>
  <li>
   10 Years - Knowledge of healthcare interoperability technical standards such as HL7, C-CDA and FHIR.
  </li>
  <li>
   10 Years - Experience with data ETL techniques, data verification, quality data management, validation, and business analytics; Query and report development experience
  </li>
  <li>
   2 Years - Experience working with healthcare claims/encounters data; Medicaid-specific experience
  </li>
  <li>
   Experience presenting data and data concepts to diverse stakeholders
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills Matrix
  <br/>
  <br/>
 </strong>
 <strong>
  Skill
  <br/>
  <br/>
 </strong>
 <strong>
  Years Used
  <br/>
  <br/>
 </strong>
 <strong>
  Last Used
  <br/>
  <br/>
 </strong>
 5 Years - Strong business analysis skills and research capabilities;
 <br/>
 <br/>
 5 Years - Ability to lead business requirements development including data and process models, ability to translate business requirements into clear and concise language and system specifications; strong working knowledge of relational databases in a client server environment,
 <br/>
 <br/>
 5 Years - Experience with the exchange of healthcare data to support care management and value-based models of care
 <br/>
 <br/>
 5 Years - Knowledge of clinical coding systems such as CPT, LOINC, and ICD-10
 <br/>
 <br/>
 5 Years - Ability to work independently with minimal supervision
 <br/>
 <br/>
 5 Years - Strong communication skills with ability to communicate with cross functional teams and all levels of the organization including IT executives, business managers and other technical staff; strong experience with analytical tools and techniques,
 <br/>
 <br/>
 5 Years - Experience with systems/software development lifecycle including planning, development, testing, and deployment
 <br/>
 <br/>
 5 Years - Knowledge of Microsoft Office Tools, specifically Microsoft Project, Visio, Excel and PowerPoint.
 <br/>
 <br/>
 3 Years - Experience working with electronic health record data
 <br/>
 <br/>
 5 Years - A strong understanding of population health monitoring; experience with Admission, Discharge and Transfer (ADT) monitoring
 <br/>
 <br/>
 5 Years - Experience with statistical and analytical software in the development of advanced reporting and analytics for health care.
 <br/>
 <br/>
 10 Years - Experience with web-based applications and database management systems;
 <br/>
 <br/>
 10 Years - Experience with SAS development tools such as SAS Visual Studio and SAS Enterprise Guide
 <br/>
 <br/>
 10 Years - Knowledge of healthcare interoperability technical standards such as HL7, C-CDA and FHIR.
 <br/>
 <br/>
 10 Years - Experience with data ETL techniques, data verification, quality data management, validation, and business analytics; Query and report development experience
 <br/>
 <br/>
 2 Years - Experience working with healthcare claims/encounters data; Medicaid-specific experience
 <br/>
 <br/>
 Experience presenting data and data concepts to diverse stakeholders
</div>

AI Powered Job Insights

Ready to dive into the world of population health? Steneral Consulting is on the hunt for a seasoned Population Health Analyst to contribute to their ambitious projects remotely! This role is perfect for someone with extensive experience in healthcare and a passion for making an impact in public health.

📍 Location: Remote (preferred candidates from North Carolina)
💼 Position: Population Health Analyst
⏰ Type: Contract
📅 Date Posted: July 16, 2024

Role Summary:
- This role calls for a subject matter expert (SME) with a minimum of 10 years in the healthcare field, focusing on population health.
- Proficiency in ETL and SAS development is a plus, especially for those with state experience.
- Strong communication skills are essential for effective collaboration with stakeholders and teams.

What You'll Do:
- Collaborate with stakeholders to enhance public health services and quality reporting.
- Develop and implement population health systems, dashboards, and data exchanges.
- Provide SME insights on clinical and electronic healthcare data.
- Support Medicaid patient linking projects and ensure compliance with emerging standards.

What's Needed:
- 5+ years in business analysis with robust research capabilities.
- Proven capability to lead requirement developments and translate them into clear specifications.
- Familiarity with healthcare data exchange and quality performance metrics.
- Strong knowledge of clinical coding systems like CPT and ICD-10, along with skills in analytical tools and Microsoft Office Suite.
- Experience in working with EHR data and population health monitoring is highly desirable.
- Knowledge of healthcare interoperability standards like HL7 and FHIR will give candidates an edge.

This position offers an exciting opportunity to leverage extensive healthcare knowledge while positively impacting community health initiatives!

Top Interview Questions

  • Q: Can you describe your experience with ETL processes in healthcare data management?

    A: I have over 10 years of experience in implementing ETL processes primarily focused on healthcare data. In my previous role, I managed the extraction of patient data from various EHR systems, transformed it to meet our data integrity requirements, and loaded it into our data warehouse. This process involved using tools like Talend and Informatica for data integration, ensuring compliance with HIPAA regulations while improving our reporting efficiency.

  • Q: How do you approach stakeholder engagement and collaboration when working on population health initiatives?

    A: I prioritize building strong relationships with stakeholders by clearly communicating the project goals and actively seeking their input. For instance, during a project aimed at improving care coordination, I organized regular meetings with Medicaid officials and health providers to gather insights and align our objectives. This collaborative approach ensured that we were addressing the needs of all parties and led to successful implementation of initiatives.

  • Q: What strategies do you employ to ensure high-quality data management in population health analytics?

    A: I employ several strategies, including implementing rigorous data validation techniques during the ETL process and conducting regular audits of data quality. Additionally, I leverage automated tools for data cleansing and monitoring, ensuring that the data used in analytics is accurate and reliable. For example, I use SQL queries to check for inconsistencies and anomalies, which helps maintain the integrity of our population health reports.

  • Q: Describe a challenging project in population health analytics that you've been involved in and how you overcame obstacles.

    A: In a previous role, I was tasked with developing a dashboard for tracking health outcomes across different demographics. The challenge was integrating disparate data sources that used varying coding systems. I facilitated workshops with the data owners to standardize the data formats and developed a comprehensive mapping document. By aligning our data standards and employing ETL processes, we successfully launched the dashboard, enabling better tracking of health disparities.

  • Q: Can you explain your understanding of healthcare interoperability standards and their importance in population health?

    A: Healthcare interoperability standards, such as HL7 and FHIR, are crucial for facilitating seamless data exchange across various healthcare systems. My understanding is that these standards ensure that different health information systems can communicate effectively, enabling comprehensive patient care and informed decision-making. For instance, using FHIR APIs allows us to quickly access and share patient data, which is vital for population health analytics and coordinated care efforts.

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