Premium Assessment Report
Jordan Lee
Recent graduate · Economics major · campus operations intern
72/100
AI-economy readiness
Strong early-career foundation. Jordan has credible classroom, internship, and communication signals. The fastest improvement is one applied project that proves she can use data and AI tools to make a practical recommendation.
Best fit
Analytical support roles
Main gap
Evidence of applied work
First milestone
Publish one portfolio case
Three paths that fit
1. Junior Business Analyst
Operations research x reporting
$60K-$78K · 6-12 months
Jordan has classroom research, spreadsheet work, and enough writing practice to turn messy business questions into clear summaries.
2. Customer Success Associate
Client support x technical onboarding
$58K-$74K · 3-9 months
Her campus leadership and tutoring experience translate well to explaining tools, tracking follow-ups, and helping customers adopt software.
3. Data Operations Coordinator
Spreadsheet fluency x process improvement
$62K-$85K · 6-12 months
The strongest signal is practical: build one visible project that shows clean data, simple automation, and a business recommendation.
Biggest gap
Turn coursework into proof
The resume reads responsible and hardworking, but employers still need proof that Jordan can solve a practical business problem without step-by-step instruction.
Positioning shift
From broad graduate to analytical operator
The target message should be simple: Jordan can organize data, find a pattern, explain the tradeoff, and keep the work moving.
Week 1 of the 90-day plan
Choose one target role family and save five real job descriptions.
Build a one-page analysis using public customer review or labor-market data.
Rewrite the resume headline and top project bullets around the chosen role.
Send the project summary to three alumni or working professionals for feedback.