Senior Specialist, Process Improvement (SIU)

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This position is fully remote and open to candidates residing in the U.S., excluding Alaska; Delaware; Hawaii; Louisiana; Montana; North Dakota; Oklahoma; West Virginia; Wyoming; and U.S. Territories.Full-TimeSenior

SalaryThe base pay for this role in the states of California, Connecticut, New Jersey, New York, and Washington is: $75,348 - $98,894 per year. The base pay for this role in all other locations is: $67,813 - $89,005 per year. You are also eligible for annual performance bonuses.

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Job Details

Experience: 2+ years experience in a technical role or a process improvement role; 2+ years of experience working with large data sets using excel or a database language; 1+ years experience deriving business insights from datasets and solving problems; 1+ years experience improving business workflows and processes; 1+ years experience collaborating with internal and/or external stakeholders.
Required Skills: SQLData AnalysisMicrosoft ExcelProcess improvement

Requirements

Have a bachelor's degree or 4+ years of commensurate experience.
Have 2+ years of experience in a technical role, such as QA analyst, PM, operations analyst, finance, consulting, or industrial engineering, or in process improvement.
Have 2+ years of experience working with large data sets using Excel or a database language.
Have 1+ years of experience deriving business insights from datasets and solving problems.
Have 1+ years of experience improving business workflows and processes.
Have 1+ years of experience collaborating with internal and/or external stakeholders.
Academic or professional background in engineering, data, or healthcare is a bonus.
Experience in a healthcare claims organization or working in or with an SIU is a bonus.
Knowledge management, training, or content development experience in operational settings is a bonus.
Process Improvement or Lean Six Sigma training aids and experience using SQL are bonuses.

Responsibilities

Conduct SIU intake, triage, and tip research, and support escalated issues with root cause analysis and training.
Identify operational risks and investigate and resolve issues to inform technology-driven solutions.
Scope, prioritize, and deliver solutions based on partner feedback regarding adverse claim outcomes.
Use data analysis tools to produce quantitative insights and translate findings into technical business requirements.
Use partner submissions, data mining, and process monitoring to identify systemic improvement opportunities.
Maintain accurate records in accordance with retention policies and keep shared systems organized and accessible.
Coordinate projects to meet service level agreements and milestones while supporting quality and continuous improvement.
Partner with leadership and cross-functional teams on cost reduction, outcomes, and compliant operations.
Keep stakeholders informed of project progress, status, and blockers.

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