- Contract To Hire or Direct Hire
- Full Time
- TBD
- Houston,Texas, Onsite
- Write, read, and speak English fluently.
- N/A
- Bachelor&\#39;s degree in data science, statistics, computer science, or related field. Master&\#39;s degree preferred.
- 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.
- 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.
- Bachelors in data science, statistics, computer science, or related field.
- Masters degree in data science, statistics, computer science, HR Analytics or a related field.
- TBD
- 8 am - 5 pm, Monday - Friday
- Business Casual
- Yes
-
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Description
Type:
Full Time or Part Time:
Pay Rate:
Location:
Language Requirements:
Language Preferences:
Experience Requirements:
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Schedule:
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Benefits:
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