Data Analyst 3 (Talent Acquisition & Hr)

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 Analystsupporting 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 include, but are not limited to:

• 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:

Education: 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, 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.

Abilities:

• Exposure to computer screens for an extended period.
• Sitting for extended periods of time.
• Reach by extending hands or arms in any direction.
• Have finger dexterity to manipulate objects with fingers rather than whole hands arms, for example, using a keyboard.
• Listen to and understand information and ideas presented through spoken words and sentences.
• Communicate information and ideas in speaking so others will understand.
• Read and understand information and ideas presented in writing.
• Apply general rules to specific problems to produce answers that make sense.
• Identify and understand the speech of another person.

Applicants for this position may be required to prove that they have received the COVID-19 vaccine or demonstrate that they have a valid religious or medical reason not to be vaccinated.

EOE Minorities/Females/Protected Veterans/Disabled

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