Remote Data Analyst II - Healthcare Analytics

J29, Inc

United States

On-site

USD 50,000 - 60,000

Full time

4 days ago
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Job summary

J29, Inc. is seeking a Data Analyst II to work remotely in the United States. The role focuses on analyzing medical claims, records, disputes, and audits to identify trends and provide actionable insights.

You will collaborate with other analysts to present findings and support quality improvement initiatives. Requirements include a Bachelor's degree and 1–3 years of experience, with proficiency in SAS, SQL, Excel, R, Python, and Tableau.

Qualifications

  • Bachelor's degree required.
  • 1–3 years of relevant professional experience.
  • Proficient in SAS, SQL, Excel, R, Python, and Tableau.

Responsibilities

  • Utilizes data analysis tools (SAS, SQL, Excel, R, Python, Tableau) to manipulate and analyze data and identify trends for insights.
  • Collaborates with data analysts to create tabular and graphical presentations for stakeholders.
  • Designs re-measurement strategies to assess intervention efficacy and quantify impact on healthcare improvement.
  • Prepares and modifies reports using complex spreadsheet functions to illustrate analyses.
  • Performs data entry into spreadsheets, databases, or other applications and tracks data receipt and distribution.
  • Conducts routine data-related tasks in databases and client systems for accuracy and efficiency.
  • Operates and manages dashboards following internal data capture and measurement processes.
  • Drafts and maintains data and process documentation for clarity and accessibility.
  • Prepares trend reports and graphics to visually represent data trends.

Skills

SAS
SQL
Excel
R
Python
Tableau

Education

Bachelor's degree

Tools

SAS templates

Job description

J29, Inc. is seeking a Data Analyst II to work remotely in the United States. The role focuses on analyzing medical claims, records, disputes, and audits to identify trends and provide actionable insights.

You will collaborate with other analysts to present findings and support quality improvement initiatives. Requirements include a Bachelor's degree and 1–3 years of experience, with proficiency in SAS, SQL, Excel, R, Python, and Tableau.

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