Interwell Health

Healthcare

SeniorAnalyst,DataInfrastructure

$138–150k United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Analyst, Data Infrastructure at Interwell Health. Skills: Data infrastructure, Value-based healthcare, Self-service analytics. Design scalable data systems. Implement scalable data systems”

Industry & Context.

Healthcare
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

Master's degree in Information Systems, 2 years business analyst experience, Bachelor's degree in Information Systems, 4 years business analyst experience, 2 years data analytics experience, 2 years data visualization experience, 2 years PowerBI experience, 2 years MSSQL experience, 2 years Excel experience, 2 years InContact reporting data experience, 2 years Salesforce Healthcloud experience, 2 years automating data workflows experience, 2 years database management systems experience, 2 years ETL Processes experience, 2 years Jira experience, 2 years Git experience, 2 years SharePoint experience, 2 years Confluence experience, 2 years database optimization experience, 2 years query optimization experience, 2 years presenting to clients experience, 2 years presenting to teams experience, 2 years healthcare regulations experience, 2 years compliance standards experience, SQL coding aptitude, PowerBI aptitude

Nice to Have

PhD preferred, Specific ML framework experience, Cloud platform certs

What You'll Do.

Design scalable data systems

Implement scalable data systems

Design data workflows

Implement data workflows

Collaborate with IT teams

Collaborate with analytics teams

Maintain data pipelines

Enhance data pipelines

Develop analytical reports

Create data visualizations

Leverage domain knowledge

Validate reporting data

Reconcile reporting data

Automate manual reporting

Identify discrepancies

Identify risks in data

Conduct root cause analyses

Recommend remediation steps

Implement remediation steps

Prepare files for audits

Prepare materials for audits

Ensure data integrity

Collaborate with departments

Prepare required materials

Communicate recommendations

Provide guidance to staff

Escalate issues to management

Contribute to initiatives

How You'll Work.

Team & Collaboration

Cross-functional projects

Communication Scope

Presenting to clients; Presenting to teams

Process & Methodology

Project management

Full Job Description

Interwell Health is a kidney care management company that partners with physicians on its mission to reimagine healthcare—with the expertise, scale, compassion, and vision to set the standard for the industry and help patients live their best lives. We are on a mission to help people and we know the work we do changes their lives. If there is a better way, we will create it. So, if our mission speaks to you, join us! InterWell Health Partners, Inc., Senior Analyst - Data Infrastructure, (Waltham, MA - Remote) Responsible for leading development of a robust data infrastructure to support value-based healthcare insights generation and report development. Designs systems that ensure data integrity, enable self-service analytics and foster informed decision making. Duties include: 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, including ad-hoc reports and automation of manual reporting processes to enhance efficiency. Identify discrepancies and risks in data, conducting root cause analyses to recommend and implement remediation steps. Prepare files and materials for internal and external regulatory audits. Ensure data integrity throughout the reporting lifecycle. Collaborate with departments to prepare required materials and ensure clear communication of findings

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