What you'll do...
Position: Senior Manager, Workforce Planning
Job Location: 811 Excellence Dr, Bentonville, AR 72716
Duties: Drives strategy and innovation to improve workforce management related user experiences by evaluating the current competitive landscape; reviewing forecasts in related fields; constructing artifacts outlining present conditions and proposed solutions; designing transitional road maps for the future or clarifying existing user experience frameworks for small- to-medium-sized project portfolios; and presenting information within and across the organization to gain strategic alignment. Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Manages the development and evaluation of business tools and core statistical models by understanding complex business needs and scope of work; determining and using best practices; designing tools, statistical models, and reporting infrastructure; building or providing guidance on building data infrastructure, databases, and tools; determining the business impact of data infrastructure, databases, and tools; testing and evaluating pilot solutions before implementation; verifying results; and interpreting data and results into actionable initiatives for business partners. Manages project execution by ensuring compliance with project procedures and guidelines; advising on, executing, and documenting organizational practices and company, legal, and regulatory policies and procedures; and evaluating and responding to issues and concerns regarding analytics practices and procedures. Drives data analytics for workforce planning governance by directing the gathering of data; assessing data validity and usability; ensuring data accuracy; applying business measures and analyses to identify improvement opportunities; synthesizing data into large analytics datasets to support project goals; utilizing big data analytics and advanced data mining techniques to analyze data; identifying trends, patterns, and discrepancies in data; determining additional data needed to support insights; translating results into business actions; developing recommendations regarding the application of insights to business strategies; developing creative solutions within business areas that reduce cost or meet business goals; and presenting insights and recommendations to key stakeholders. Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost effectiveness; and participating in and supporting community outreach events.
Minimum education and experience required: Master's degree or the equivalent in Analytics, Engineering, Computer Science, Mathematics, or related field and 2 years of experience in data management, business analytics, statistics, or related experience; OR Bachelor's degree or the equivalent in Analytics, Engineering, Computer Science, Mathematics, or related field and 4 years of experience in data management, business analytics, statistics, or related experience.
Skills required: Must have experience with: Utilizing forecasting techniques to build offline forecast in Excel to validate system forecast; Calculating statistical error metrics (MAPE, RMSE) to evaluate forecast accuracy and validate labor hour projections; Applying statistical techniques in Excel to analyze unit and labor need trends, seasonality, and operational performance; Building labor hour needs and headcount models in Excel, incorporating corporate strategies and staffing ratios; Creating reports and data visualization in Excel (graphs, trend lines) to generate business insights; Performing data validation and quality control for demand and labor planning inputs using Excel; Using SQL (Google BigQuery, Databricks) and Excel for ad hoc operational analysis requests from stakeholders; Conducting time and motion studies to quantify process times and labor savings; Using Lean process improvement techniques to identify waste and optimize labor; Analyzing KPIs to derive operational insights. Employer will accept any amount of graduate coursework, graduate research experience or experience with the required skills.
Rate of pay: $90,000.00 - 180,000.00/year
