
Description
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 Innovation Who is Mastercard?Mastercard is a global technology company in the payments industry. Our mission is 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. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution.
Role
The Economics & Locations Solutions (ELS) program empowers key decision makers across all segments to make smarter and better decisions by enriching their own solutions with our leading and trusted insights. Our relevant data and insights provide and curate richer context and deeper information across multiple dimensions (time, sector, geo), with accessible, timely delivery to meet each client's needs.
We are looking for a data engineer to join ELS as a Senior Analyst, Product Innovation. This individual will play a key role in operationalizing and building across a prioritized agenda within the Economics product portfolio and bringing the overall vision to life. The role offers a unique blend of data engineering, data science, and product management; you will use your engineering and data science skills to partner with product leads, analytics & engineering colleagues, and clients to develop new solutions and support cross-functional operations. We are looking for an individual who:
• Actively communicates with stakeholders, product groups, and analytics teams
• Takes ownership across a prioritized development agenda aimed at enhancing, improving, and innovating within our product portfolio in a production environment
• Collaborates with product, engineering, analytics, and delivery teams to tackle innovative ideas and close operational gaps
• Actively identifies and proposes solutions to bottlenecks, inefficiencies, and areas of improvement within data pipelines, ETL processes, automation, code stability, and software development
• Works well within a production environment across multiple technologies, frameworks, and software systems ensuring that documentation and transparency are a cornerstone of day-to-day operations (Python, R, Hadoop, Spark, Hive, Git)
• Enjoys diving deep into technical challenges and partnering with subject matter experts where applicable to build forward thinking solutions
• Works with the ELS engineering and economics/econometrics groups to implement the product vision via project management, direct data science applications, and/or self-driven expansion of core ideas and infrastructure
• Partners with delivery teams to ensure existing product success and to identify areas for efficiency improvement, upskilling opportunities, and knowledge/skill gaps
• Possesses demonstrated knowledge around data wrangling, modeling, reporting, automation, and engineering across concurrent workstreams and initiatives
All About You
We are looking for someone who is entrepreneurial, willing to thoughtfully take risks, and take on increasing levels of responsibility and scope. Ideally, you'll have experience or exposure to product development in addition to possessing engineering or data science skillsets.
• Comfortable working in a fast-paced and fluid environment, staying calm under pressure
• Demonstrated knowledge of data engineering, software development, and data analysis
• Possesses a track record of continuous improvement and out of the box engineering mindset
• Familiarity with economics and econometrics is considered a plus
• Creative & passionate about engineering, statistics/math, economics, data, technology, and its applications, with an entrepreneurial mindset open to new ideas
• Strong collaborator and independent thinker
• Excellent at managing multiple projects and tight timelines with an ability to reprioritize and remain calm under pressure
• Evidence of creativity, innovation, and unorthodox thinking
• Background and familiarity with multiple software programs and languages such as R, Python, Hadoop, SQL, Git, Spark, and others 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 reasonable_accommodation@mastercard.com 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.
Pay Ranges
Arlington, Virginia: $114,000 - $182,000 USD Boston, Massachusetts: $114,000 - $182,000 USD Chicago, Illinois: $99,000 - $158,000 USD Purchase, New York: $114,000 - $182,000 USDApply on company website