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

Analyst, Big Data Analytics & Engineering

Analyst, Big Data Analytics & Engineering

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.

Our Team:

Ekata, a Mastercard company, is the global standard in identity verification, providing businesses worldwide the ability to link any digital transaction to the human behind it. Our Ekata Identity Network, the first and only of its kind, uses complex machine learning to combine features derived from the billions of transactions within our proprietary network and the data from our graph to deliver industry leading risk assessment solutions.

Graph & Tools team is looking for an Analyst who will be responsible for measuring and ensuring the quality of Graph data. This includes the ingestion pipeline from evaluating licensed provider data through merge steps and publishing to production. Because the Graph ingestion pipeline is automated, many of the checks will be automated and implemented as pass/fail decisions based on generated reports. At other times, manual review will be required to evaluate new data providers or to check code or process changes.
Our ideal candidate will understand the challenges of working with data at scale and have a firm knowledge of algorithms and processing complexity. This role requires a strong analytical mindset, attention to detail, and the ability to work collaboratively with various departments to ensure data integrity and accuracy.

Our team is a mix of software engineers and data analysts working to ensure our inputs, algorithms, and publishing artifacts are of the highest quality and efficiency. Our output is critical to the accuracy of our Risk Analysis APIs which power top e-commerce sites. Constant improvement and innovation are designed into our process. Your ability to learn and grow will be recognized and rewarded.


The Role:
We are seeking an Analyst who will:

• Create reports of quality and other metrics within Databricks. This requires both knowing the Spark tool and understanding where data is located within AWS and the environment.
• Read and write Spark code using Scala. Graph team processing and reporting is currently all written in Scala.
• Understand the Graph ingestion pipeline and how the data is used in production for our models and ProInsight.
• Summarize findings in Confluence to verify quality or evaluate alternate paths.
• Partner with various teams (i.e., Product Manager, Data Science, Engineering) on data needs/requirements in order to deliver data solutions that generate business value.
• Identify innovative ideas and deliver proof of concepts, prototypes to deliver against the existing and future needs and propose new products, services and enhancements
• Analyse large volumes of transaction and product data to generate insights and actionable recommendations to drive business growth
• Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions

All about You
• Bachelor’s degree in computer science, Information Systems, Finance, Statistics, or a related field.
• Experience with the Apache Spark ecosystem in a production environment
• Experience working with AWS, Databricks, Redis and/or similar platforms
• Strong proficiency in SQL, Excel, and data visualization tools such as Power BI, Tableau, or similar platforms.
• Experience in automation of reporting processes using scripting languages (Python) is a plus.
• Ability to interpret complex datasets and present findings in a clear and concise manner.
• Strong problem-solving skills, attention to detail, and ability to work under tight deadlines.
• Excellent communication skills to work effectively with cross-functional teams.
• Ability to easily move between business, analytical, and technical teams and articulate solution requirements for each group.
Total Base Pay Range

106,000.00 - 169,000.00 USD Annual

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.

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 based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. 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 new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 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, gender-inclusive benefits and many more.

Pay Ranges

Seattle, Washington: $106,000 - $169,000 USD