Mastercard
Associate Product Specialist, Product Management
O'Fallon, Missouri, USA · Junior · Internship
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$8,509 more — $85,509 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $85,509 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · St. Louis, MO-IL. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card intent detected
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- This entry-level role is ideal for someone early in their career who enjoys working with data, learning new tools, and helping teams turn information into useful insights.
- Help organize and review customer, subscription, and operational data to identify trends and areas for further review.
- Help gather data, check assumptions, and summarize findings for business cases and product planning.
Responsibilities
- Support analysis of platform adoption, usage trends, and performance across Operational Intelligence solutions.
- Work with Product, Technology, and Data teams to learn how platform data is structured and how it supports business decisions.
- Create and maintain basic reports, dashboards, and KPI tracking related to adoption, usage, retention, and revenue.
- Document insights clearly so product, data, and commercial teams can understand and act on the information.
Requirements
- Basic experience with data analysis, reporting, and visualization
- Excel experience required, and exposure to Tableau, Power BI, or similar tools is helpful.
- Bachelor's degree in data analytics, information systems, computer science, engineering, business analytics, economics, or a related field.
- Interest in payments, analytics, reporting platforms, or financial services is helpful but not required.
- Ability to work with structured data, check for accuracy, identify simple patterns, and summarize observations.
- Ability to summarize data into clear observations and explain what the information may mean.
Skills
- Mastercard powers economies and empowers people in 200+ countries and territories worldwide.
- Title and Summary
- Associate Product Specialist, Product Management
- Role Responsibilities
- Exposure to SQL, databases, data querying, or data concepts through coursework, internships, projects, or hands-on learning.
- Interest in learning how data moves across systems, platforms, and reporting tools.
Compensation
- In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions dependi
This listing is sourced directly from Mastercard's careers page and normalized into a canonical job model.