This role pays less than
64%
of similar roles. Most pay
$118,875–$183,706
— the shaded band above.
At the midpoint, this role pays about
$132k
versus about
$151k
for comparable roles.
Based on 240 similar postings.
Employer
About Mastercard
Mastercard is a global technology company in the payments industry, processing transactions between financial institutions and merchants using its extensive network of credit, debit, and prepaid card products. Industry: Payments Technology & Financial Services
Mastercard currently has
128 open roles
on FindRole.
Listed pay typically runs
$122,000–$207,000
across 114 roles with salary data.
Senior Analyst, Analytics & Metrics - Open Finance joins the Strategic Customer Analytics team to serve as a trusted partner for Open Finance clients. This role involves transforming complex datasets into actionable insights to help customers understand performance and identify growth opportunities within data and connectivity solutions. You will perform root-cause analysis on conversion trends, develop executive-level dashboards and scorecards, and collaborate with cross-functional teams like Engineering and Product to improve reporting methodologies. The position requires proficiency in SQL, large-scale data analysis, and visualization tools such as Tableau or Power BI. Candidates should also be comfortable using Snowflake, Databricks, and AI-enabled analytics to automate workflows. The role focuses on the Open Finance domain, specifically addressing business challenges related to performance measurement, forecasting, and providing data-driven recommendations for client retention and growth in a global environment.
Analyze customer and platform performance data to identify trends, risks, and actionable business recommendations.
Develop executive-level dashboards, scorecards, and presentations for internal stakeholders and external clients.
Conduct root-cause analysis to investigate performance changes, conversion trends, and operational issues.
Design and maintain scalable reporting solutions using enterprise analytics platforms and visualization tools like Tableau.
Leverage automation and AI-enabled analytics to improve the efficiency of client insights.
Partner with cross-functional teams to improve reporting capabilities and establish analytics best practices.
Provide data-driven insights to support client growth and retention in collaboration with account management teams.
Translate complex technical concepts into clear business recommendations for strategic planning and performance discussions.
What we're looking for
Bachelor's degree in Analytics, Statistics, Economics, Business, Computer Science, Mathematics, Engineering, or related experience.
Experience in analytics, business intelligence, consulting, strategy, or a related analytical role.
Strong SQL and data analysis skills with experience working with large-scale datasets.
Experience using data visualization tools such as Tableau or Power BI.
Exceptional analytical thinking and problem-solving abilities.
Strong written and verbal communication skills to present insights to executive audiences.
Ability to translate technical concepts into business-focused recommendations.
Experience in financial services, fintech, payments, open banking, or digital platforms (preferred); knowledge of A/B testing, forecasting, Snowflake, Databricks, or AI automation (preferred).
SQL
Python
Machine Learning
Data Mining
Data Visualization
Statistical Modeling
Data Infrastructure
AI-assisted workflows
Risk Management
Scripting Languages