Data Analytics Consultant

US, RemoteFull-Time

Salary not disclosed

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Job Details

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.
Ability to work with varying types of data.
Knowledge of data mining, data manipulation, statistical analysis, HR metrics, HRIS/HRMS systems and general HR processes and procedures.
Knowledge and ability to use reporting tools for data mapping and data transformation.
Demonstrated experience working in an environment with multiple tasks and strict deadlines.
BA/BS degree or equal years of experience in Business Administration, Organizational Development, Systems Analysis, Statistics or other related field(s).

Utilizes 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).
Strategizes with internal and external clients concerning regulatory, business and industry best practices.
Applies best practices to produce standard and custom analytics and reporting.
Engages with OFCCP, EEOC and other industry organizations.
Analyzes data sets for completeness and accuracy, while documenting discrepancies.
Engages clients and incorporates feedback when necessary.
Validates consistency, integrity and accuracy of data across all client files.
Executes defined checks and balances and formulates additional client specific validation points.
Synthesizes information and provides recommendations to the Project Team.
Utilizes Excel / Access / SAS and other applications to format, manipulate, analyze and logically present data.

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