Mastercard
FinTech
SeniorSpecialist,ProductManagement-DataAnalytics
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Specialist, Product Management - Data Analytics at Mastercard. Skills: Product Management, Data Analytics, User Stories, Product Development. Partner with Product Manager to collect and analyze. Identify trends in product data”
Industry & Context.
Problem-solving mindset; Analytical mindset; Data-driven decision making
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Business, Marketing, or a related field, 2–3 years of experience in Product Management and/or Product Development, Experience gathering and interpreting qualitative product data and customer feedback, Analytical skills with the ability to assess industry trends and competitor behavior, Proven ability to identify product improvements and contribute to product and marketing strategies, Collaboration skills and ability to work cross-functionally with product and engineering teams
Nice to Have
Working knowledge of statistical analysis tools (e.g., Python, R, SAS) is a plus, Familiarity with cloud platforms (AWS, GCP, Azure) and SaaS products (nice to have)
What You'll Do.
Partner with Product Manager to collect and analyze
Identify trends in product data
Track product defects
Support development of product roadmaps
Provide project status updates
Generate risk management reports
Build MVP-level reports and insights
Collaborate with engineering teams to productionize solutions
Monitor product performance across development
Actively participate in Agile/Scrum ceremonies
Analyze product data to identify trends
Track and report key performance metrics
Contribute to defining product roadmaps
Identify white space opportunities
How You'll Work.
Team & Collaboration
Partner with Product Manager; Collaborate with engineering teams; Work cross-functionally
Process & Methodology
Agile, Scrum, Roadmap planning
Full Job Description
**Our Purpose** _Mastercard powers economies and empowers people in 200 + countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **Title and Summary** ### Senior Specialist, Product Management - Data Analytics ### Overview The Payment Reconciliation Intelligence (PRI) team is seeking a Senior Specialist, Data Scientist to support product development initiatives. This role will partner closely with the Product Manager and engineering teams to drive data analysis, define user stories, and contribute to end-to-end product delivery. The ideal candidate is passionate about customer experience, highly analytical, intellectually curious, and thrives in a fast-paced, entrepreneurial environment. Role & Responsibilities As a Senior Specialist, Data Scientist, you will: • Partner with the Product Manager to collect and analyze product data, identify trends, and track product defects • Support the development of product roadmaps, user stories, project status updates, and risk management reports • Build MVP-level reports and insights, and collaborate with engineering teams to productionize solutions • Monitor and evaluate product performance across development stages; actively participate in Agile/Scrum ceremonies • Analyze product data to identify trends, patterns, and opportunities for new features or product enhancements • Track and report key performance metrics related to product success • Contribute to defining and delivering product roadmaps, including identifying white space opportunities Qualifications & Skills Basic Qualifications: • Bachelor’s degree in Computer Science, Business, Marketi
Applying for this Senior Specialist, Product Management - Data Analytics role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Mastercard?
Real rants from real employees. Read before you apply.