Forecaster - Austin, United States - Health & Human Services Comm

Mark Lane

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Mark Lane

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Description

The Actuary II (Forecaster) plays an important role on the Health and Human Services Forecasting Team, with assignments ranging from forecasting to providing critical support of forecasting for various HHS program, including Medicaid Acute/Long-Term Services and Supports, Vendor Drug, Children's Health Insurance Program (CHIP), or Temporary Assistance to Needy Families (TANF).

This is an excellent opportunity for someone looking to build their career in a predictive analytics setting, including for a recent graduate or someone who is looking to start their career in forecasting


Essential Job Functions:


Under the direction of the manager/team lead, the Forecaster develops complex statistical models, such as time series models, using SAS or other software, including Excel, to forecast HHS programs and evaluate the performance of such models (30%).

The Forecaster maintains and updates complex spreadsheets on a continual basis and identifies opportunities for improvement (30%).

The Forecaster pulls and analyzes historical data on a monthly basis to identify and escalate anomalies and to ensure appropriateness for use in forecasting (15%).

The Forecaster provides reports to management, the Legislative Budget Board, and others, on a monthly or quarterly basis, on the performance of models, as well as trends seen in the data (10%).

Performs ad-hoc queries and runs simulations on request (10%). Other duties as assigned (5%).


Knowledge Skills Abilities:


  • Graduation from a 4-year college or university with major coursework in a relevant field, such as mathematics/statistics/economics or any degree that included major coursework in statistical/data analysis.
  • 2. Strong analytical skills with experience in data analysis and/or statistical modeling.
  • 3. Knowledge of statistical software (such as SAS or R) and/or forecasting software.
  • 4. Experience with Excel, including linking multiple worksheets and use of pivot tables.
  • 5. Strong attention to detail and the ability to work independently.
  • 6. Excellent communication and collaboration skills

Registration or Licensure Requirements:

N/A


Initial Selection Criteria:


  • Graduation from a 4-year college or university with major coursework in a relevant field, such as mathematics/statistics/economics or any degree that included major coursework in statistical/data analysis.
  • 2. Experience with data analysis tools

Additional Information:


MOS Code:

HHS agencies use E-Verify. You must bring your I-9 documentation with you on your first day of work.

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