Analyst, Inclusive Innovation & Analytics, Center for Inclusive Growth

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

Analyst, Inclusive Innovation & Analytics, Center for Inclusive Growth

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.
The Center for Inclusive Growth is the social impact hub at Mastercard. The organization seeks to ensure that the benefits of an expanding economy accrue to all segments of society. Through actionable research, impact data science, programmatic grants, stakeholder engagement and global partnerships, the Center advances equitable and sustainable economic growth and financial inclusion around the world. The Center’s work is at the heart of Mastercard’s objective to be a force for good in the world.
Reporting to Vice President, Inclusive Innovation & Analytics, the Analyst, will 1) create and/or scale data, data science, and AI solutions, methodologies, products, and tools to advance inclusive growth and the field of impact data science, 2) work on the execution and implementation of key priorities to advance external and internal data for social strategies, and 3) manage the operations to ensure operational excellence across the Inclusive Innovation & Analytics team.
Key Responsibilities
1. Data Analysis & Insight Generation
• Design, develop, and scale data science and AI solutions, tools, and methodologies to support inclusive growth and impact data science.
• Analyze structured and unstructured datasets to uncover trends, patterns, and actionable insights related to economic inclusion, public policy, and social equity.
• Translate analytical findings into insights through compelling visualizations and dashboards that inform policy, program design, and strategic decision-making.
• Create dashboards, reports, and visualizations that communicate findings to both technical and non-technical audiences.
• Provide data-driven support for convenings involving philanthropy, government, private sector, and civil society partners.
2. Data Integration & Operationalization
• Assist in building and maintaining data pipelines for ingesting and processing diverse data sources (e.g., open data, text, survey data).
• Ensure data quality, consistency, and compliance with privacy and ethical standards.
• Collaborate with data engineers and AI developers to support backend infrastructure and model deployment.
3. Team Operations
• Manage team operations, meeting agendas, project management, and strategic follow-ups to ensure alignment with organizational goals.
• Lead internal reporting processes, including the preparation of dashboards, performance metrics, and impact reports.
• Support team budgeting, financial tracking, and process optimization.
• Support grantees and grants management as needed
• Develop briefs, talking points, and presentation materials for leadership and external engagements.
• Translate strategic objectives into actionable data initiatives and track progress against milestones.
• Coordinate key activities and priorities in the portfolio, working across teams at the Center and the business as applicable to facilitate collaboration and information sharing
• Support the revamp of the Measurement, Evaluation, and Learning frameworks and workstreams at the Center
• Provide administrative support as needed
• Manage ad-hoc projects, events organization
Qualifications:
• Bachelor’s degree in Data Science, Statistics, Computer Science, Public Policy, or a related field.
• 2–4 years of experience in data analysis, preferably in a mission-driven or interdisciplinary setting.
• Strong proficiency in Python and SQL; experience with data visualization tools (e.g., Tableau, Power BI, Looker, Plotly, Seaborn, D3.js).
• Familiarity with unstructured data processing and robust machine learning concepts.
• Excellent communication skills and ability to work across technical and non-technical teams.
Technical Skills & Tools:
Data Wrangling & Processing
• Data cleaning, transformation, and normalization techniques
• Pandas, NumPy, Dask, Polars
• Regular expressions, JSON/XML parsing, web scraping (e.g., BeautifulSoup, Scrapy)
Machine Learning & Modeling
• Scikit-learn, XGBoost, LightGBM
• Proficiency in supervised/unsupervised learning, clustering, classification, regression
• Familiarity with LLM workflows and tools like Hugging Face Transformers, LangChain (a plus)
Visualization & Reporting
• Power BI, Tableau, Looker
• Python libraries: Matplotlib, Seaborn, Plotly, Altair
• Dashboarding tools: Streamlit, Dash
• Storytelling with data and stakeholder-ready reporting
Cloud & Collaboration Tools
• Google Cloud Platform (BigQuery, Vertex AI), Microsoft Azure
• Git/GitHub, Jupyter Notebooks, VS Code
• Experience with APIs and data integration tools (e.g., Airflow, dbt)
Ideal Candidate:
You are a curious and collaborative analyst who believes in the power of data to drive social change. You’re excited to work with cutting-edge tools while staying grounded in the real-world needs of communities and stakeholders.

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:

• Abide by Mastercard’s security policies and practices;

• Ensure the confidentiality and integrity of the information being accessed;

• Report any suspected information security violation or breach, and

• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.