Data Analyst 1 - Tysons, VA

Lensa • Full-time • Vienna, VA, US • 1d ago

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Overview

M.C. Dean is Building Intelligence®. We design, build, operate, and maintain cyber-physical solutions for the nation's most recognizable mission critical facilities, secure environments, complex infrastructure, and global enterprises. The company's capabilities include electrical, electronic security, telecommunications, life safety, automation and controls, audio visual, and IT systems. M.C. Dean is headquartered in Tysons, Virginia, and employs more than 5,800 professionals who engineer and deploy automated, secure, and resilient power and technology systems; and deliver the management platforms essential for long-term system sustainability.

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
Work Type: Full Time

Responsibilities

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

Qualifications

Education: A bachelor's degree or higher in human resources, statistics, data science, business, or equivalent related experience.

Experience

0+ years of 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.

If you have questions about this posting, please contact support@lensa.com

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