Analyst - Product Data & Analytics

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 - Product Data & AnalyticsJob Description

Product Data & Analytics Team

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. We are a hands-on global team providing scalable end-to-end data solutions. 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 6 continents?
• Are you interested in proactively looking to improve data driven decisions for a global corporation?

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.

Role and responsibilities

The Analyst - Product Data & Analytics will be part of a strategic initiative to create a SSOT data platform for all transactional data assets within the organization. He/She will work alongside a team of analytics engineers, data analysts, data engineers to evaluate the current use cases across the organization, define the data platform design including the logical/conceptual data model, data mappings, and other platform documentation, collaborate with the data architects, data engineers to ensure platform build and will be responsible for the UAT before implementation.

• Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models.
• Serve as the Directly Responsible Individual for major sections of the platform logical/conceptual data model.
• Define data mappings, data dictionaries, data quality and UAT documentation.
• Maintain the Data Catalog, a scalable resource to support Self-Service and Single-source-of-truth analytics.
• Translate business requirements into tangible technical solution specifications and high quality, on time deliverables.
• 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.
• Implement the DataOps philosophy in everything you do.
• Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review.
• Collaborate with cross-functional teams, external vendors teams and technology suppliers to ensure delivery of high-quality services.

All about you

• 4+ years' experience in data analysis, data mining, data analytics, data reporting and data product development.
• Financial Institution or a Payments experience a plus.
• Proactive self-starter seeking initiatives to advance.
• Understanding of Data architecture and some experience in building logical/conceptual data models or creating data mapping documentation.
• 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: Databricks, Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack
• Exposure to Python, Scala, Spark, Cloud and other related technologies a plus.
• 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.

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.