Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion (https://www.mastercard.us/en-us/vision/who-we-are/diversity-inclusion.html) for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Data Scientist II, Product Data & Analytics

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 data visualization tools such as Tableau, Domo, and/or PowerBI is a plus.

• 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.