Workforce Management Labor Planning Advisor – Fully Remote
If you are passionate about making a difference with the work you do, being recognized for your capacity planning while contributing to the success of strategic budgeting and labor forecasting, consider growing your career with CVS Health, a Fortune 5 healthcare leader!
You will support the continued refinement, optimization, and budgeting for the CORAM, OmniCare and MinuteClinic workforce labor models. This will require finding opportunities to improve efficiency and translating operations workflow into our financial planning and budgeting process.
Your job responsibilities will be:
* Provide inputs (data analysis, reporting, productivity, budget & capacity forecasts) to operational leadership
* Build a reliable and detailed budget and labor capacity models for task-based workforce management
* Lead and help develop a compelling story through data while transforming complex data into a digestible format for several levels of leadership
* Summarize analyses through storyboarding activities into comprehensive presentations to foster discussion and communicate important insights
* Build labor budget models from the ground up using Advanced Excel (can write advanced macros)/Access/SQL
* Maintain operational, headcount and financial forecasting in partnership with important partners (including both Finance and Field Operations)
* Conduct in-depth analyses to determine success metrics, identify opportunities for improvement in both strategy and tactics, and determine Return on Investment for investments
Required Qualifications
* 2+ years’ experience in labor sizing, budget forecasting, capacity modeling
Preferred Qualifications
* 3+ years advanced use of Excel (can write advanced macros), PowerPoint, & MS Access
* 2+ years working with relational databases and SQL
* 2+ years developing strategic financial planning recommendations
* Perform with a high degree of accuracy under tight deadlines and manage multiple projects
* Exposure to scripting with Python, R, SAS, or other data preparation and analysis tools
* Bachelor’s Degree in business, finance, statistical analysis, mathematics or a related quantitative field
Education
* Bachelor’s Degree or related work experience
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