Data Analytics Intern

Arcfield was purpose-built to protect the nation and its allies through innovations in digital transformation, space mission engineering and launch assurance, miniaturized sensors and satellites, advanced modeling and simulation, cybersecurity, and conventional and hypersonic missile support. Headquartered in Chantilly, VA with 16 global offices, Arcfield employs more than 1,500 engineers, analysts, IT specialists, and other professionals with more than 60 years of collective proven experience supporting missions in cyber and space defense, space exploration, hypersonic and nuclear deterrence and warfighter readiness. Visit arcfield.com for more details.

Arcfield is seeking a Data Analytics Intern to develop a data-driven framework for measuring the quality of hire and analyzing exit interviews using HireLogic. The intern will leverage HireLogic's capabilities to extract insights, identify patterns, and create a reporting system to support Talent Acquisition (TA) decision-making.

Project Scope

Understanding HireLogic:

• Gain familiarity with HireLogic's features and functionalities.
• Explore data extraction, analytics, and reporting capabilities.

Defining Quality of Hire Metrics:

• Research industry benchmarks for quality of hire (QoH).
• Identify key performance indicators (KPIs) such as retention rate, performance reviews, hiring manager satisfaction, and productivity metrics.
• Work with the TA team to align QoH metrics with business goals.

Data Collection & Integration:

• Utilize HireLogic to extract and analyze hiring data.
• Integrate internal performance and retention data where possible.
• Ensure data accuracy and completeness for meaningful analysis.

Developing a Measurement Framework:

• Design a scoring model to quantify quality of hire.
• Automate data processing for efficiency.
• Create visual dashboards and reports using relevant tools (Excel, Power BI, or Tableau).

Exit Interview Analysis:

• Use HireLogic to analyze exit interview data and extract trends.
• Identify common themes in reasons for departure.
• Correlate exit interview insights with quality of hire metrics.

Deliverables:

• A documented framework for measuring quality of hire.
• An automated dashboard with QoH metrics and exit interview insights.
• A summary report with key findings and recommendations for TA improvement.

Expected Outcomes:

• Improved understanding of hiring effectiveness.
• Data-driven insights to refine hiring strategies.
• Actionable recommendations for enhancing employee retention.

Required Experience:

• Data analytics and visualization (Excel, Power BI, or Tableau)
• Understanding of HR metrics and workforce analytics
• Strong analytical and problem-solving skills
• Experience or coursework in data analysis, statistics, or HR analytics
• HS 3-4 years

EEO

Arcfield proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a Disabled Veteran, Recently Separated Veteran, Active-Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law.