M.C. Dean - Tysons, VA
posted 3 months ago
Full-time
Hybrid - Tysons, VA
Specialty Trade Contractors
About the position
The Human Resources Data Analyst at M.C. Dean plays a crucial role in supporting the HR team by collecting, analyzing, and reporting on HR data to facilitate data-driven decision-making and enhance HR processes. This position involves working on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, and learning and development. The analyst will also develop methodologies for project prioritization and scheduling, ensuring effective analysis and root cause determination.
Responsibilities
- Gathering and cleaning HR data from various sources, such as HRIS, ATS, surveys, and external benchmarks.
- Performing descriptive, inferential, and predictive analysis using statistical methods and tools, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
- Creating and maintaining dashboards, reports, and visualizations to communicate insights and recommendations to HR and business stakeholders.
- Identifying and monitoring key HR metrics and trends, such as turnover, retention, productivity, engagement, diversity, etc.
- Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretation.
- Collaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiatives.
- Ensuring data quality, accuracy, and compliance with data governance and privacy standards.
Requirements
- A bachelor's degree or higher in human resources, statistics, data science, business, or equivalent related experience.
- 2-4 years data analyst experience in working with HR and/or business data and applying analytical techniques and methods.
- Proficiency in statistics, data analysis, and research methods.
- Knowledge of various HR functions, processes, and systems, such as recruitment, performance, engagement, diversity, compensation, etc.
- Proficiency in using various data analysis and visualization tools and software, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
