Senior BI Developer
Overview of the Role
In this role, you will transform complex data into meaningful insights, build scalable dashboards, and partner with product, engineering, and business stakeholders to drive strategic decisions. You’ll play a critical part in ensuring Mastercard continues to deliver trusted, innovative, and customer‑centric solutions.
Key Responsibilities
Business Intelligence Development
Design, develop, and maintain dashboards and reports using Qlik Sense/QlikView and Power BI.
Build and optimize data models, ETL pipelines, and load scripts to support enterprise‑level analytics.
Ensure data accuracy, consistency, and performance across BI platforms.
Apply Mastercard’s visualization and governance standards to deliver high‑quality reporting assets.
Troubleshoot data quality issues, performance bottlenecks, and access challenges.
Document data flows, dashboard logic, and technical processes to support scalability and transparency.
Product Analytics \& Insights
Analyze product usage and customer behavior to identify trends, opportunities, and areas for improvement.
Define and monitor KPIs, product health metrics, and success indicators aligned with Mastercard’s strategic goals.
Conduct deep‑dive analyses to support roadmap decisions, feature prioritization, and business cases.
Partner with product managers to design experiments (A/B tests) and interpret results.
Build self‑service analytics tools and automated reporting for cross‑functional teams.
Translate complex data findings into clear, actionable insights for technical and non‑technical audiences.
Collaboration \& Leadership
Engage with stakeholders across product, engineering, and business teams to understand needs and deliver impactful solutions.
Mentor junior analysts and contribute to Mastercard’s analytics and BI best practices.
Support cross‑functional initiatives that rely on data‑driven decision‑making and operational excellence.
About You
Strong experience developing in Qlik Sense/QlikView and Power BI.
Proficiency in SQL and strong understanding of data modeling concepts.
Experience with ETL processes and data warehousing principles.
Background in product analytics or data analysis, ideally in a technology or payments environment.
Experience with experimentation frameworks and statistical analysis.
Ability to communicate insights clearly and influence stakeholders at all levels.
Familiarity with agile product development methodologies.
Experience with Python or R is a plus.
Strong problem‑solving skills, attention to detail, and business acumen.
A commitment to Mastercard’s values of decency, inclusion, and innovation.**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
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