Full-Time

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Medford, OR, USA

In Person

Category
Data & Analytics (1)
Required Skills
Power BI
Forecasting
SQL
Data Analysis
Excel/Numbers/Sheets
Requirements
  • Bachelore2a0s degree in business, Finance, Data Analytics, Information Systems, or a related field.
  • At least 3 years of experience as a Business or Data Analyst29 preferably in healthcare, human services, or similarly regulated industries.
  • High proficiency in Excel and BI tools (e.g., Power BI); skilled in SQL.
  • Experience translating complex data into actionable insights for non-technical stakeholders.
  • Organized, detail-oriented, and capable of juggling multiple projects.
  • Strong communicator with experience in cross-functional collaboration and vendor coordination.
Responsibilities
  • Build and maintain insightful dashboards and reports tracking training, core competencies, utilization, time allocation, productivity trends, and service delivery gaps.
  • Design tools for real-time management of employee time and attendance—including monitoring overtime, billable limit breaches, geolocation compliance, and documentation gaps.
  • Develop workflows and tools to reconcile clocked hours with billing data, preventing overpayments both in payroll and software licensing.
  • Assist in the design and implementation of a SQL database for live organizational metrics.
  • Conduct market assessments, modeling, and forecasting for geographical and service expansion, including Medicaid rate/hours impact analysis.
  • Liaise with internal teams and vendors on software integration and optimization; provide insight into AI applications and process automation.
  • Lead internal training initiatives—empowering teams in Excel and other BI tools.
  • Support FP&A efforts with metric development and reporting.
  • Create ad-hoc and recurring reports to meet business and regulatory needs.
  • Perform additional duties as assigned, adding value wherever opportunities arise.
Desired Qualifications
  • GL accounting software, billing, and payroll experience.
  • Prior work with dashboards, AI insights, or process automation initiatives.
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