Type:

• Contract To Hire or Direct Hire

Full Time or Part Time:

• Full Time

Pay Rate:

• TBD

Location:

•  Houston, TX 77701

Language Requirements:

• Write, read, and speak English fluently.

Language Preferences:

•  N/A

Job Overview:   Develop predictive models to identify trends and patterns, forecast outcomes, and inform HR decisions.Design and implement experiments to test the effectiveness of HR initiatives and programs. Create data visualizations and dashboards to communicate insights and recommendations to HR and business leaders. Collaborate with HR business partners, analysts, and other stakeholders to identify opportunities for data-driven improvements in HR processes and programs. Stay up to date on the latest developments in data science, HR analytics, and technology, and leverage this knowledge to drive innovation and continuous improvement in HR. Ensure data quality, accuracy, and completeness in all analyses and reports. Work with IT and other stakeholders to ensure the security, privacy, and compliance of HR data and analytics.  

Experience Requirements: 

• Bachelor's degree in data science, statistics, computer science, or related field. Master's degree preferred.
• Minimum 3+ years of experience in data analysis, modeling, and visualization. Experience in HR analytics preferred.
• Strong analytical and problem-solving skills, with the ability to think critically and creatively about complex business problems.
• Proficiency in statistical analysis and modeling techniques, such as regression analysis, machine learning, and data mining.
• Expertise in data visualization and reporting tools, such as Tableau or Power BI.
• Strong programming skills in languages such as Python, R, or SQL.
• Excellent communication skills, with the ability to communicate complex data insights clearly and persuasively to non-technical audiences.
• Ability to work independently and collaboratively, and to manage multiple projects and priorities simultaneously.
• Knowledge of HR policies, procedures, and practices, and their impact on business outcomes.
• Familiarity with HR systems and technologies, such as HRIS and ATS.

Experience Preferences: 

• Strong proficiency in programming languages such as Python or R for data manipulation, analysis, and modeling.
• Proficiency with data visualization tools (Power BI preferred) to create interactive and insightful dashboards.
• Experience with machine learning algorithms, predictive modeling, and statistical analysis.
• Familiarity with HRIS (Human Resources Information System) and HR-related data sources.
• Excellent problem-solving skills and the ability to translate business questions into data-driven solutions.
• Strong communication skills with the ability to explain complex technical concepts to non-technical audiences.
• Detail-oriented and capable of managing multiple projects simultaneously.
• Strong communication skills to present complex findings and insights to both technical and non-technical audiences.
• Knowledge of HR processes, policies, and industry trends is highly desirable.

  Education Requirements:

• Bachelors in data science, statistics, computer science, or related field.

Education Preferences:

• Masters degree in data science, statistics, computer science, HR Analytics or a related field.

Training Schedule:

• TBD

Schedule:

• 8 am - 5 pm, Monday - Friday

Dress Code:

• Business Casual

Benefits:

• Yes

Additional Information:

Drug and background checks are performed. Valid identification and reliable transportation required. We are an E-Verify employer. We will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization. Our employees are authorized to work in the United States. Candidates shall supply their own transportation.