Senior Analyst, Data Infrastructure
New
This position is remote and can be performed from any location within the United States.Full-TimeSenior
Salary137,946 - 150,000 USD per year
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Job Details
- Experience
- Master’s degree and two (2) years of experience or Bachelor’s degree and four (4) years of experience.
- Required Skills
- ETLGitMicrosoft Power BIMicrosoft SQL ServerJiraMicrosoft ExcelData visualizationHIPAA
Requirements
- Master’s degree in Information Systems, Bioinformatics or closely related field and two (2) years of professional business analyst experience or Bachelor’s degree and four (4) years of experience.
- Two (2) years of experience performing data analytics and visualization using PowerBI, MSSQL, and Excel.
- Experience with InContact reporting data and Salesforce Healthcloud.
- Experience automating data workflows and implementing efficiencies.
- Experience working with database management systems and ETL Processes.
- Experience with Jira, Git, SharePoint, and Confluence.
- Proficiency in database and query optimization with MSSQL (CTEs, Windows Functions, Stored Procedures, Cube/Rollup).
- Experience presenting to clients and cross functional teams.
- Working knowledge of healthcare regulations and compliance standards, including HIPAA.
Responsibilities
- Design and implement scalable data systems and workflows to support organizational analytical needs.
- Collaborate with IT and analytics teams to ensure seamless integration of data sources into centralized infrastructure.
- Maintain and enhance data pipelines to ensure real time access to reliable information.
- Develop analytical reports and dashboards to uncover trends and actionable insights in healthcare data.
- Create advanced data visualizations that enable stakeholders to understand complex data quickly and effectively.
- Leverage domain knowledge in value-based healthcare to identify key metrics and areas for analysis.
- Validate and reconcile general reporting data across the organization.
- Create and maintain reporting in compliance with CMS and FHP policies.
- Identify discrepancies and risks in data, conducting root cause analyses to recommend and implement remediation steps.
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