Develops advanced reporting, data visualization, data models, and analytical capabilities across Mastercard’s commercial products and markets. Translates business requirements into scalable solutions, manipulates large datasets, performs data validation and cleansing, and delivers actionable insights. Partners with global stakeholders, manages requirements, supports automation and ETL workflows, and communicates findings through visualizations and presentations. The role requires strong programming, SQL, quantitative analysis, data engineering, and visualization expertise.
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
Job Description - Data & Product Analytics Team - Data Visualization Expert / Data Scientist II
Overview
Data & Analytics build internal analytic partnerships, strengthening their focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies.
The Mastercard Commercial Analytics team is responsible for expansion of business-to-business analytics footprint and for delivering incremental business insights, volume opportunities across commercial products.
• 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 six continents?• Do you want to be the go-to resource for data analytics in the company?
Role• Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data in order 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 modeling and reporting• Effectively use tools to manipulate large-scale databases, synthesizing data insights. • Apply quality control, data validation, and cleansing processes to new and existing data sources• Connect with stakeholders across business and technology and serve as a SPOC for all the requirements and communications.
All About You • Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis for about 3-6 years
• Experience with Data Visualization libraries/tools like D3.js, three.js, Highcharts, SVG, HTML5, WebGL• Experience on Platforms/Environments: SQL Server, Microsoft BI Stack• Experience with data visualization tools such as Tableau, Domo, PowerBI is a must. Industry standard certification credentials are a plus• Financial Institution or a Payments experience a plus• Experience presenting data findings in a readable and insight driven format. Experience building support decks.• Experience in building automation flow using Alteryx/ Tableau prep/ Python/ R• Experience using big data batch and streaming tools (Spark, AWS tools, Hadoop)• Experience with function scripting languages: Python, Scala, R• Advanced SQL coding is a must• Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage• Experience in building data models a must • Understanding of full stack and product management concepts around product strategy, business case, high-level technical use case and ROI measurement• Excellent problem solving, quantitative and analytical skills
Scripting knowledge with Python and Bash are essentials• ETL(Logic) using python, SQL, and NoSQL databases, API• 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
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 with excellent communication skills• Strong diligence and quality focused• Creativity/Innovation with focused on solution• Initiative-taking, operates with a sense of urgency• Product Management/Risk Mitigation• Able to prioritize and perform multiple tasks simultaneously
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:
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
Job Description - Data & Product Analytics Team - Data Visualization Expert / Data Scientist II
Overview
Data & Analytics build internal analytic partnerships, strengthening their focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies.
The Mastercard Commercial Analytics team is responsible for expansion of business-to-business analytics footprint and for delivering incremental business insights, volume opportunities across commercial products.
• 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 six continents?• Do you want to be the go-to resource for data analytics in the company?
Role• Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data in order 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 modeling and reporting• Effectively use tools to manipulate large-scale databases, synthesizing data insights. • Apply quality control, data validation, and cleansing processes to new and existing data sources• Connect with stakeholders across business and technology and serve as a SPOC for all the requirements and communications.
All About You • Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis for about 3-6 years
• Experience with Data Visualization libraries/tools like D3.js, three.js, Highcharts, SVG, HTML5, WebGL• Experience on Platforms/Environments: SQL Server, Microsoft BI Stack• Experience with data visualization tools such as Tableau, Domo, PowerBI is a must. Industry standard certification credentials are a plus• Financial Institution or a Payments experience a plus• Experience presenting data findings in a readable and insight driven format. Experience building support decks.• Experience in building automation flow using Alteryx/ Tableau prep/ Python/ R• Experience using big data batch and streaming tools (Spark, AWS tools, Hadoop)• Experience with function scripting languages: Python, Scala, R• Advanced SQL coding is a must• Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage• Experience in building data models a must • Understanding of full stack and product management concepts around product strategy, business case, high-level technical use case and ROI measurement• Excellent problem solving, quantitative and analytical skills
Scripting knowledge with Python and Bash are essentials• ETL(Logic) using python, SQL, and NoSQL databases, API• 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
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 with excellent communication skills• Strong diligence and quality focused• Creativity/Innovation with focused on solution• Initiative-taking, operates with a sense of urgency• Product Management/Risk Mitigation• Able to prioritize and perform multiple tasks simultaneously
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.
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