The Senior Analyst will analyze large data sets, provide data-driven insights, build reporting solutions, and partner with product teams.
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
Senior Analyst, Product Data & Analytics
Overview
The 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.• 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 6 continents?• Do you want to be the go-to resource for data analytics in the company?
The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.
As a Senior Analyst in the Product Data & Analytics team, you will partner across product organizations and help them make data driven decisions. Primary responsibilities include performing data analysis on large data sets, delivering data-driven insights and recommendations, building reporting solutions to track performance, and partnering across the organization to drive product adoption. You will also support the development of new products and enhance existing solutions by working closely with global product teams and regional leads. An ideal candidate should have strong data analytical skills, an understanding of the payments landscape, strategic thinking to drive insights from the data, and strong storytelling skills to communicate the findings.
Role and responsibilities• 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.• Obtain data from multiple sources, collate, analyse, and triangulate information to develop reliable fact bases. Effectively use tools to manipulate large-scale databases, synthesizing data insights.• Execute cross-functional projects using advanced modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.• Build, develop and maintain data models, reporting systems, dashboards and performance metrics that support key business decisions.• Extract intellectual capital from engagement work and actively share tools, methods and best practices across projects • 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.• Lead, mentor and guide more junior team members.• Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams.• Bring your Passion and Expertise
All about you• 5+ years of business experience with a proven track record in data analytics, data mining, reporting, data product development, data product management, and/or consulting• Financial Institution or Payments experience a plus.• Proactive self-starter seeking initiatives to advance.• Data architecture experience and experience in building data models a plus.• Experience with data validation, quality control and cleansing processes to new and existing data sources.• Advanced SQL skills, ability to write optimized queries for large data sets.• Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud.• Exposure to Python, Scala, Spark, Cloud and other related technologies.• Experience with data visualization tools such as Tableau, Domo, and/or PowerBI is a plus.• Excellent problem solving, quantitative and analytical skills.• In depth technical knowledge, drive and ability to learn new technologies.• Strong attention to detail and quality.• Team player, excellent communication skills.• 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.
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
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:
In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.
Pay Ranges
Purchase, New York: $120,000 - $204,000 USD
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
Senior Analyst, Product Data & Analytics
Overview
The 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.• 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 6 continents?• Do you want to be the go-to resource for data analytics in the company?
The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.
As a Senior Analyst in the Product Data & Analytics team, you will partner across product organizations and help them make data driven decisions. Primary responsibilities include performing data analysis on large data sets, delivering data-driven insights and recommendations, building reporting solutions to track performance, and partnering across the organization to drive product adoption. You will also support the development of new products and enhance existing solutions by working closely with global product teams and regional leads. An ideal candidate should have strong data analytical skills, an understanding of the payments landscape, strategic thinking to drive insights from the data, and strong storytelling skills to communicate the findings.
Role and responsibilities• 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.• Obtain data from multiple sources, collate, analyse, and triangulate information to develop reliable fact bases. Effectively use tools to manipulate large-scale databases, synthesizing data insights.• Execute cross-functional projects using advanced modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.• Build, develop and maintain data models, reporting systems, dashboards and performance metrics that support key business decisions.• Extract intellectual capital from engagement work and actively share tools, methods and best practices across projects • 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.• Lead, mentor and guide more junior team members.• Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams.• Bring your Passion and Expertise
All about you• 5+ years of business experience with a proven track record in data analytics, data mining, reporting, data product development, data product management, and/or consulting• Financial Institution or Payments experience a plus.• Proactive self-starter seeking initiatives to advance.• Data architecture experience and experience in building data models a plus.• Experience with data validation, quality control and cleansing processes to new and existing data sources.• Advanced SQL skills, ability to write optimized queries for large data sets.• Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud.• Exposure to Python, Scala, Spark, Cloud and other related technologies.• Experience with data visualization tools such as Tableau, Domo, and/or PowerBI is a plus.• Excellent problem solving, quantitative and analytical skills.• In depth technical knowledge, drive and ability to learn new technologies.• Strong attention to detail and quality.• Team player, excellent communication skills.• 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.
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
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.
In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.
Pay Ranges
Purchase, New York: $120,000 - $204,000 USD
Top Skills
Big Data
Cloudera Hadoop
Microsoft Bi
Power BI
Python
Scala
Spark
SQL
SQL Server
Tableau
Mastercard New York, New York, USA Office

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