Quantitative Data Analytics Summer Analyst Program — 2027

02 · Requirements and your timeline

Check the actual eligibility requirements.

Work arrangement

Not stated — confirm with the employer

Degree levels recorded

bachelors · masters

Graduation window

2027-11 to 2028-08

Start date

Not confirmed

Deadline

2026-11-07 · verify cutoff time and timezone

Minimum years of experience

No numeric minimum confirmed

Official program page lists this application closing date; rolling recruitment may finish sooner.

Bachelor’s or a direct bachelor-to-master course; graduation November 2027–August 2028; quantitative majors; advanced Python, SQL, R, C++, MATLAB or Java; data analyst track uses Tableau, Hadoop or Power BI. GPA 3.5 preferred.

• The master’s route is specifically bachelor’s-direct-to-master’s; an independent master’s program is not expressly eligible.
• Program policy is case-by-case, not a guarantee that this track will sponsor.
• The employer states it does not complete third-party university forms; confirm any CPT/OPT paperwork needs before applying.

Questions still to resolve

• Confirm sponsorship for the specific role, hiring entity and your circumstances; program or employer evidence alone is not role approval.
• Add your graduation month and year to compare the published window.
• Confirm enrollment in the degree program specified by this posting.
• E-Verify enrollment has not been matched to the hiring legal entity. Verify separately if relevant to STEM OPT.
• Compare your degree and enrollment status with the official requirements.
• Confirm that applications are still being accepted.

Graduation dates are compared only where exact bounds are stated. We do not infer CPT/OPT eligibility, work permission or H-1B timing from your academic year.

03 · Separate employer check

E-Verify

Hiring legal entity not independently confirmed

No independently verified official E-Verify match for the hiring legal entity; this does not mean non-enrollment.

E-Verify participation is separate from H-1B sponsorship and the other STEM OPT requirements. An employer statement or an unmatched name is not a completed legal-employer verification.

04 · Prepare with a purpose

What to prepare and why

Demonstrate a cleaned dataset, reproducible Python/SQL analysis and a dashboard connected to a financial decision. Select one business line and rank locations.