What are the responsibilities and job description for the Data Analyst 3 (Talent Acquisition & HR) position at M.C. Dean, Inc?
Overview
At M.C. Dean, we transform the way complex systems are designed, delivered, and sustained-enhancing client outcomes, improving lives, and changing the world for the better. We are looking for an accomplished, self-motivated, and self-starter as a Human Resources Data Analyst supporting our Human Resources team, and who collects, analyzes, and reports on human resources data to support data-driven decision making and improve HR processes and outcomes. An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
Additionally, to develop and manage information to support corporate decision making and improve existing reporting systems. Performs complex analyses as well as to conduct and facilitates (and educates and trains on) analyses, issues identification, organizational risk assessment, and decision-making processes. Provide consulting and analytic services to leadership, and technical support and mentoring and training to less-senior analysts. Develop methodology and processes for prioritization and scheduling of projects to enable the analysis of problems and determine root causes. Through defining company data assets (data models), work closely with the Talent Acquisition and Human Resources teams to develop strategy for long term data platform architecture.
Why join M.C. Dean? Our people are inspired by the way engineering and innovation enhance customer outcomes, improve lives, and change the world for the better. We are driven by our core values of agility, expertise, and trust.
- Location : Tysons, VA (Hybrid) with some remote work
- Work Authorization : EAD, Green Card or U.S. Citizen
- Work Type : Full Time
Responsibilities
Responsibilities include, but are not limited to :
Qualifications
Requirements :
Education : A bachelor's degree or higher in human resources, statistics, data science, business, or equivalent related experience.
Experience :
Abilities :