Healthcare - Data Analyst
Posted 3 days ago by citecht
Negotiable
Undetermined
Remote
Remote
Summary: The role of Healthcare Data Analyst requires a professional with over four years of experience in system and data analysis, particularly within the healthcare sector. The candidate should possess strong analytical skills and be proficient in data analysis tools to support business decisions. Familiarity with healthcare transactions and data structures is preferred, alongside effective communication abilities across diverse teams. This position is remote, allowing for flexibility in work arrangements.
Key Responsibilities:
- Conduct system and data analysis to improve processes within the healthcare industry.
- Utilize data analysis tools such as Excel, SQL, Tableau, and Power BI to derive insights.
- Collaborate with technical and non-technical teams to support business decisions.
- Review requirements and analyze data to deliver actionable insights.
- Work with flat file data structures and ANSI 5010 transactions as needed.
Key Skills:
- 4+ years of experience in system analysis, data analysis, and process improvement.
- 2+ years of experience in the healthcare industry; TPA experience preferred.
- Strong analytical, critical thinking, and problem-solving skills.
- Intermediate to advanced proficiency in Microsoft Office (Excel, Outlook, Word).
- Familiarity with flat file data structures such as CSV or pipe-delimited files.
- Experience using data analysis tools such as Excel, SQL, Tableau, Power BI, or similar tools.
- Strong collaboration and communication skills across technical and non-technical teams.
- Knowledge or experience with ANSI 5010 transactions (837, 835, 834, 270/271) preferred.
Salary (Rate): £75,000 yearly
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Experience
4+ years of experience in system analysis, data analysis, and/or process improvement.
2+ years of experience in the healthcare industry; TPA experience preferred.
Associate or Bachelor''s degree preferred, but not required.
Strong analytical, critical thinking, and problem-solving skills.
Intermediate to advanced proficiency in Microsoft Office (Excel, Outlook, Word).
Familiarity with flat file data structures such as CSV or pipe-delimited files.
Experience using data analysis tools such as Excel, SQL, Tableau, Power BI, or similar tools.
Proven ability to analyze data, review requirements, and deliver insights that support business decisions.
Strong collaboration and communication skills across technical and non-technical teams.
Knowledge or experience with ANSI 5010 transactions (837, 835, 834, 270/271) preferred