OPERATIONS RESEARCH ANALYST (SENIOR WORKFORCE ANALYST)

About the role

In this role you will design, develop and adapt mathematical and statistical methods to provide workforce data analytics and business analytics support for data-driven decision making. You will work across agency functions to support the development of strategies and initiatives designed to conduct research and analyze complex data outcomes and outputs.

Responsibilities

• Research and maintain awareness of industry best practices, new mathematical techniques, tools, and business strategies to proactively bring in new and innovative ideas to address business needs.
• Analyze and interpret human resources trends and provide insights and actionable recommendations to leadership across multiple cross-functional departments.
• Conduct data mining and retrieval, and apply statistical and mathematical analyses to identify trends, solve analytical problems, optimize performance, and gather information.
• Develop and apply quantitative and qualitative analytic methods to identify, collect, process, and analyze large data sets for human capital purposes.
• Analyze data and make recommendations based on trends and develop analytical stories addressing business questions in the human capital domain.
• Develop and maintain a suite of analytics tools to support DCSA decision makers.
• Present workforce and business analytics data to stakeholders through effective and efficient visualizations and dashboards.
• Maintain standards for data integrity and quality assurance, including feedback to improve processes and reduce errors.

Requirements

Must be a US citizen. Selective Service Requirement: Males born after 12-31-59 must be registered for Selective Service. Valid Driver’s License is required.

Qualifications

Basic Requirement: Degree in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus. Failure to provide transcripts will result in you being rated ineligible for this position.

Specialized Experience: Applicant must have directly applicable experience demonstrating the possession of the knowledge, skills, abilities and competencies necessary for immediate success in the position. Qualifying experience may have been acquired in any public or private sector job, but will clearly demonstrate past experience in the application of the particular competencies/knowledge, skills and abilities necessary to successfully perform the duties of the position.

You must have specialized experience sufficient to demonstrate that you have acquired all the competencies necessary to perform at a level equivalent in difficulty, responsibility, and complexity to the next lower grade GG/GS-13 in the Federal service and are prepared to take on greater responsibility. Generally, this would include one year or more of such specialized experience.

Specialized Experience for This Position Includes:

• Analyzing experience related to workforce analytics, which includes research, ad-hoc analyses, and human capital and business analytics reporting.
• Applying expertise in statistical analyses to conduct qualitative and quantitative analysis in a human capital or business analytics setting.
• Proficiently building dynamic data-driven reports and visualization products to convey workforce data, trends, and other insights to help inform strategic workforce planning and decision making.

Competencies:

• Research: Proficiency in developing strategies and initiatives designed to conduct research and analyze complex data outcomes and outputs related to workforce and organizational development and programs such as reports, dashboards, and workforce research papers.
• Quantitative and Qualitative Analysis: Skill in developing and applying quantitative and qualitative analytic methods to identify, collect, process, and analyze large data sets for human capital purposes.
• Communications: Ability to prepare, present, and explain complex data, information, recommendations, and findings.
• Data Visualization: In-depth experience with modern statistical analysis and data visualization tools such as Tableau, Qlik, SAS, SPSS, RStudio, etc.
• Workforce Analytics: Extensive knowledge and experience designing, developing and adapting mathematical, statistical, and other scientific methods and techniques to provide workforce data analytics and using analytic tools to create a more reliable and up-to-date picture of workforce capacity, capability and disposition.