Data Analyst 3 (Talent Acquisition & HR)

M.C. Dean - Tysons, VA

Full-time - Mid Level

Hybrid - Tysons, VA

Specialty Trade Contractors

About the position

The Data Analyst 3 position at M.C. Dean focuses on supporting the Human Resources team by collecting, analyzing, and reporting on HR data to facilitate data-driven decision-making and enhance HR processes. The role involves working on various projects related to talent acquisition, performance management, employee engagement, and more, while also developing methodologies for project prioritization and scheduling.

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
• 5+ 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, and talent acquisition 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.