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Resource Planning Advisor, Forecasting - Evernorth - Remote

Posted 3 days agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: United States

💸 Salary: 76500.0 - 127500.0 USD per year

🔍 Industry: Health Services

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: SQLData AnalysisResource PlanningCommunication SkillsAnalytical SkillsMicrosoft ExcelTime ManagementMS OfficeBudgetingData modeling

Requirements:
  • 5+ years progressive workforce planning experience in contact center environment preferred- long/mid/short range forecasting, RTA, capacity planning, scheduling, etc.
  • Budgeting experience preferred
  • Proven experience in modeling sequential data, statistical forecasting, and time series models (ARIMA, SARIMA with seasonality and trends) preferred
  • Strong analytical and technical skills
  • Demonstrated knowledge of MS Office software, specifically Excel (v-lookups, pivot tables, macros), PowerPoint
  • Knowledge of Hyperion, SQL, Python, R, or related software preferred
Responsibilities:
  • Developing and managing long range volume and expense forecasting models and monitoring operational performance.
  • Analyze customer data such as contact volume, communications, and client or internal business changes, maintain and improve inbound member call forecasting models.
  • Partner with teams across the broader enterprise to understand operational processes and requirements, and to identify continuous improvement strategies.
  • Leverage data and predictive analysis to clearly articulate problems and influence decisions that support the strategic direction.
  • Advise senior management of potential budgetary risks and coordinate with appropriate departments to resolve gaps, output issues, or other problems.
  • Ensure that month end financial close is accurate and timely, working with workstream leaders, accounting, and finance.
  • Consolidate data from numerous systems into a single source of truth.
  • Communicate key information across the enterprise to build awareness of volume, metrics and significant variations in performance.
  • Identify and implement technology to automate and improve the forecasting process.
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