Quality Control & Reporting Specialist - Alaska

Gainwell Technologies LLC•Anchorage, AK
•$59,500 - $85,000•Remote

About The Position

The Quality Control & Reporting Specialist supports quality control, reporting, data validation, and continuous improvement for healthcare operations. The role independently performs quality-control and reporting assignments, coordinates defined improvements, and provides analytical recommendations. It is positioned above an entry-level analyst role and below a senior, lead, or enterprise-level subject matter expert classification. The specialist applies established quality-control standards to operational processes, recurring reports, dashboards, and client deliverables; performs data validation, reconciliations, and trend analysis; documents findings; and partners with stakeholders on corrective actions. The role monitors compliance with business rules, contractual requirements, service-level expectations, and departmental procedures. It also collaborates across operations, quality, compliance, reporting, and technical teams to define metrics and reporting needs. The position develops and maintains operational, quality, compliance, and management dashboards, and writes or enhances SQL queries and scripts for data extraction, validation, reconciliation, automation, and analysis. It maintains KPI calculations, thresholds, exception views, report logic, and supporting documentation; validates outputs against source systems and approved requirements; and translates business needs into rules, data definitions, acceptance criteria, test scenarios, and implementation tasks. The specialist supports testing and implementation of reporting and process improvements, coordinates initiatives, tracks risks and dependencies, and presents findings and recommendations to stakeholders. This is a remote position supporting the Anchorage, Alaska office. The employee must work required business hours aligned with the operation, handle protected and regulated information in accordance with applicable requirements, and have reliable broadband internet that meets organizational standards. The stated annual pay range is $59,500 to $85,000; offered base pay may vary based on geographic region, internal equity, job-related knowledge, skills, and experience.

Requirements

  • At least 3 years of experience in quality assurance, quality control, business analysis, operational analytics, reporting, compliance, or a related discipline, including at least 1 year performing quality reviews, compliance monitoring, audit support, data validation, or performance improvement activities.
  • Experience using SQL for data extraction and analysis, including joins, filtering, aggregations, and business rule logic.
  • Experience creating and maintaining dashboards and reports using Power BI, Cognos, Tableau, or a comparable business intelligence platform.
  • Experience using Python or another scripting language to support analytics, automation, or data quality validation.
  • Knowledge of KPI development, data quality concepts, requirements gathering, process analysis, testing, and documentation practices.
  • Ability to interpret client, contractual, operational, or regulatory requirements and translate them into measurable controls, reporting specifications, or business rules.
  • Strong analytical and problem-solving skills, including investigating issues, identifying root causes, and recommending practical solutions.
  • Strong written, verbal, presentation, and data storytelling skills, including communicating effectively with technical and non-technical audiences.
  • Ability to work independently, manage multiple priorities, and collaborate effectively across cross-functional teams.
  • Ability to work required business hours aligned with the operation.
  • Ability to handle protected, confidential, and regulated information in accordance with applicable privacy, security, and organizational requirements.
  • Reliable broadband internet connection for telework, meeting current organizational standards.

Nice To Haves

  • Bachelor's degree in Business, Analytics, Information Systems, Healthcare Administration, Quality Management, or a related field, or an equivalent combination of education and relevant experience.
  • Experience in healthcare, Medicaid, government, public sector, or another highly regulated environment.
  • Experience supporting client contracts, service-level agreements, performance guarantees, or regulatory reporting requirements.
  • Knowledge of Agile, Lean, Six Sigma, process improvement, or business process re-engineering methodologies.
  • Experience with data governance, metadata management, data lineage, report certification, or data-quality management practices.
  • Experience with Microsoft Power Platform solutions, including Power BI and/or Power Automate.
  • Experience working in Azure or AWS environments or partnering with data engineering and cloud platform teams.
  • Relevant professional certification in business analysis, quality management, data analytics, Power BI, Lean Six Sigma, auditing, or project management.
  • Experience coordinating projects, facilitating cross-functional initiatives, or mentoring and developing analysts.

Responsibilities

  • Apply established quality-control standards to operational processes, recurring reports, dashboards, and client deliverables.
  • Perform quality reviews, data validation, reconciliations, and trend analysis to identify errors, inconsistencies, and emerging risks.
  • Document findings, assess whether issues are isolated or recurring, and partner with stakeholders to support corrective actions.
  • Monitor adherence to approved business rules, contractual requirements, service-level expectations, and departmental procedures.
  • Collaborate with operations, quality, compliance, reporting, and technical teams to define business metrics and reporting requirements.
  • Develop and maintain operational, quality, compliance, and management dashboards using business intelligence tools.
  • Write and enhance SQL queries for data extraction, validation, reconciliation, and recurring reporting.
  • Use Python or comparable scripting tools for data preparation, automation, repeatable validation, and analytical review.
  • Define and maintain KPI calculations, thresholds, exception views, report logic, and supporting documentation.
  • Validate reporting outputs against source systems and approved requirements, investigate discrepancies, and document assumptions and limitations.
  • Facilitate requirements-gathering discussions and translate business needs into business rules, data definitions, acceptance criteria, test scenarios, and implementation tasks.
  • Support reporting and process improvements through testing, implementation, user education, stabilization, and measurement of results.
  • Coordinate quality, reporting, and continuous improvement initiatives, tracking risks, dependencies, and issues requiring leadership attention.
  • Present findings, insights, and recommendations to operational leaders, clients, and technical and non-technical stakeholders.
  • Share reporting, analytics, and quality-control expertise with team members and contribute to standardized practices, documentation, and continuous improvement.
  • Deliver accurate, complete, timely, and well-documented reports, dashboards, and analytical outputs.
  • Reduce recurring defects, manual reconciliation efforts, avoidable rework, and unresolved data-quality issues.
  • Identify, escalate, remediate, and monitor quality and compliance concerns.
  • Ensure consistent application of approved metric definitions, validation procedures, documentation standards, and change-control processes.
  • Improve visibility into SLA performance, workload distribution, operational trends, exceptions, and areas of risk.
  • Deliver assigned initiatives on time with validated requirements, stakeholder alignment, and measurable outcomes.

Benefits

  • Generous, flexible vacation policy
  • 401(k) employer match
  • Comprehensive health benefits
  • Educational assistance
  • Leadership and technical development academies
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