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

Data Scientist II:

Data Scientist II, Product Data & Analytics

Our Vision:

Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. We are a hands-on global team providing scalable end-to-end data solutions by working closely with the business. We influence decisions across Mastercard through data driven insights. We are a team on analytics engineers, data architects, BI developers, data analysts and data scientists, and fully manage our own data assets and solutions.

Are you excited about Data Assets and the value they bring to an organization?

Are you an evangelist for data driven decision making?

Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across the continents?

Are you interested in proactively looking to improve data driven decisions for a global corporation?

Role

Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets, and services.

Translate business requirements into tangible solution specifications and high quality, on time deliverables.

Create repeatable processes to support development of ETL, modelling and reporting.

Effectively use tools to manipulate large-scale databases, synthesizing data insights. Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel, and PowerPoint.

Apply quality control, data validation, and cleansing processes to new and existing data sources.

Bring your Passion and Expertise:

All About You:

4-6 years’ experience in data engineering and management, data mining, data analytics, data reporting, data product development and quantitative analysis.

Advanced SQL skills, ability to write optimized queries for large data sets.

Expert in writing stored procedures, functions and views is preferable.

Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud, Snowflake, and other relevant technologies.

Exposure to Python, Scala, Hive, Impala, Spark, Cloud, and other related technologies.

Experience in data pipeline creation via tools such as Alteryx, SSIS etc.

Advanced knowledge of any of the job scheduling tools such as Apache Airflow, NIFI, and other related tools.

Experience with any one of data visualization tools (Tableau, Domo, and/or PowerBI/similar tools).

Experience with data validation, quality control and cleansing processes to new and existing data sources.

Experience presenting data findings in a readable and insight driven format. Experience in building support decks.

Must be able to interact with management, internal stakeholders and collect requirements.

Must be able to perform in a team, use judgment and operate under ambiguity.

Financial Institution or a Payments experience a plus:

Education:

Bachelor’s or Master’s degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred

Additional Competencies

Excellent English, quantitative, technical, and communication (oral/written) skills.

Analytical/Problem Solving

Strong attention to detail and quality

Creativity/Innovation

Self-motivated, operates with a sense of urgency.

Project Management/Risk Mitigation

Able to prioritize and perform multiple tasks simultaneously.

Corporate Security Responsibility:

Responsibilities:

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.

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.