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
Director – Product Data & AnalyticsJob Description
Product Data & Analytics Team
Director – Product Data & Analytics
Overview
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 brings 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.
Role & Responsibilities
• 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.
• Also work with multiple stakeholders to identify, design, develop and implement advanced AI and machine learning projects that influence daily life of team members and business
• Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions.
• Translate business requirements into tangible technical solution specifications and high quality, on time deliverables.
• Create reusable processes to support development of modeling and reporting
• Effectively use tools to manipulate large-scale databases, synthesizing data insights.
• 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.
• Recruit, train, develop and supervise managers, data engineers and data scientists within the team.
• Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
All About You
• Experience in model development, data management, data mining, data analytics, data reporting, data product development and quantitative analysis
• Financial Institution or a Payments experience a plus
• Experience presenting data findings in a readable and insight driven format. Experience building support decks.
• Advanced SQL skills, ability to write optimized queries for large data sets (Big data)
• Experience in building data models
• Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack
• Experience with data visualization tools such as Looker, Tableau, PowerBI
• Experience with Python, R
• Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage
• 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
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
• Strong attention to detail and quality
• Creativity/Innovation
• Self-motivated, operates with a sense of urgency
• Project Management/Risk Mitigation
• Able to prioritize and perform multiple tasks simultaneously
#AI3
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.
