Dashboard Overview
MarQ NxtGen Internship Program · May 2026 · Comprehensive Analytics
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UNIQUE
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Unique Applicants
Daily Submissions
Volume trend across the application period
Discovery Channels
How applicants learned about the program
Academic Year
Current year of study
Graduation Year
Expected graduation
Availability Commitment
6-week full-time confirmation
Demographics
Age, location, major field, and applicant profile breakdown
Age Distribution
Year of birth mapped to current age
Age Groups
Grouped age bands
Geographic Distribution
Applicant home city / governorate
Academic Major (Normalized)
Field of study across all applicants
Email Domain
Top email providers used
Profile Stats
Engagement depth metrics
Department Analysis
Demand breakdown across all 16 internship departments
Applicants by Department
Ranked by volume (all 16 departments)
Department Share
Proportional breakdown by department
Department Group Summary
Macro categories for quick overview
Department × Academic Year
Year distribution within each department (top 8)
Department × Discovery Source
Where applicants came from per department
University Insights
Institutional representation across the applicant pool
Named Universities (Top 10)
Excluding "Other" entries
University Share
Top 10 institutions by proportion
Other Universities Identified
Institutions entered in free-text field (top 12)
Known vs Self-Reported Universities
Applicants from named vs "Other" institution list
University × Preferred Department
Top 6 named universities stacked by department preference
Behavior & Profile Quality
Submission timing, engagement depth, and application completeness
Submissions by Hour
When applicants submitted (24h clock)
Submissions by Time of Day
Grouped into four daily periods
Submissions by Day of Week
Application activity across the week
Profile Completeness Score
Based on 4 optional fields: volunteering, activities, comments, CV format
Volunteering Experience
Applicants with meaningful experience listed
Student Activities
Applicants with club/activity involvement
CV Format
File type submitted
Motivation Letter Length
"Why do you want to join?" word count distribution
Top Insights
Key behavioral findings from the dataset
2025 Departments
Demand distribution across all 16 departments
2025
Applicants by Department
Ranked by volume
Department Share
Proportional breakdown
Department Group Summary
Macro categories
Department × Academic Year
Year breakdown within top 8 departments
Department × Discovery Source
Where each dept's applicants came from
2025 Universities
Institutional representation
2025
Named Universities (Top 10)
Excluding "Other" entries
University Share
Top 10 institutions by proportion
Other Universities Identified
Free-text entries (top 12)
Known vs Self-Reported
Named vs "Other" institution
University × Preferred Department
Top 6 universities stacked by department preference
Year-on-Year Comparison
2025 vs 2026 — Full analytics comparison across all dimensions
Application Volume — Daily (Both Years)
Submissions per day overlaid for direct comparison
Department Demand Shift
Change in applicants per department (2025 → 2026)
Discovery Channel Shift
Source distribution — both years side by side
Academic Year Mix
Year of study — 2025 vs 2026
Geographic Distribution
City split — both years
Age Group Distribution
Age band comparison
Top Universities — Both Years
Top 8 named universities side by side
Profile Completeness
Score distribution — 2025 vs 2026
Motivation Letter Depth
Word count bins — both years
Tech vs Non-Tech Split
Software Dev + IT vs all other departments
Head-to-Head Summary
Key metric comparison across both years
