Partner with the Business Consultant regarding EEO, Affirmative Action, and workforce analytics strategies.
Utilize proprietary software to generate standard or custom reporting which analyzes employer workforce, hiring, promotion, termination and compensation trends and other government reporting (EEO-1 & VETS).
Strategize with internal and external clients concerning regulatory, business and industry best practices.
Engage with OFCCP, EEOC and other industry organizations.
Analyze data sets for completeness and accuracy, while documenting discrepancies.
Ensure the consistency, integrity and accuracy of data across all client files.
Execute defined checks and balances and formulate additional client specific validation points.
Synthesize information and provide recommendations to the Project Team.
Follow established Data Analytics processes and procedures.
Maintain project documentation including project calendars, project notes, and time tracking.
Collaborate with Project Team regarding project status, risk, and opportunities.
Recommend process improvement, solutions and procedural changes internally.
Requirements
BA/BS degree or equal years of experience in Business Administration, Organizational Development, Systems Analysis, Statistics or other related field(s).
Knowledge of Affirmative Action and Equal Employment Opportunity laws, regulations, procedures and policies.
Knowledge of Equal Employment Opportunity (EEO) principles, concepts and practices including knowledge of industry and company practices and affirmative action initiatives.
Knowledge of HR functions including Staffing, Compensation, EEO/AA Compliance, Training and Recruiting.
Strong statistical and mathematical skills with demonstrated experience working with numbers, conducting analysis, and drawing conclusions from various data points.
Proficient in MS Office and Google Tools including Excel, Sheets, and Access with the capability to develop formulas to identify root causes and patterns in datasets.
Experience leveraging Artificial Intelligence (AI) and Machine Learning (ML) tools to enhance data analysis and generate predictive insights.
Knowledge of data mining, data manipulation, statistical analysis, HR metrics, HRIS/HRMS systems and general HR processes and procedures.
Demonstrated experience working in an environment with multiple tasks and strict deadlines.
Ability to ask probing questions, gather data from a variety of sources, apply logic and formulate solutions.
Organization and time management skills.
Analytical and problem solving skills.
Professional verbal and written communication skills.