Manager, Product Data & Analytics

Our Purpose

We work 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. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Manager, Product Data & Analytics

Our Vision:
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 by working closely with the business and engineering teams. We influence decisions across Mastercard through data driven insights. We are a team on data engineers, data architects, business intelligence 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 the continents?
• Are you interested in proactively looking to improve data driven decisions for a global corporation?
Responsibilities
• Responsible for developing data-driven innovative scalable analytical solutions and identifying opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions.
• 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. Support initiatives in developing predictive models, behavioural segmentation frameworks, profitability analyses, ad hoc reporting, and data visualizations.
• Translates client/ stakeholder needs into technical analyses and/or custom solutions in collaboration with internal and external partners, derive insights and present findings and outcomes to clients/stakeholders to solve critical business questions.
• Accountable for delivering high quality project solutions and tools within agreed upon timelines and budget parameters and conducting post- implementation reviews.
• Serve as a primary point of contact for client managers and liaises frequently with internal Product Managers, Account Managers, Engineers to gather data or inputs needed for project work.
• Delegate and reviews work for junior level colleagues to ensure downstream applications and tools are not compromised or delayed.
• Serves as a mentor for junior-level colleagues, and develops talent via ongoing technical training, peer review etc.
Experiences
• Demonstrated success when contributing accurate, technically innovative components for analytics/ product development projects.
• Experience managing day-to-day cross-functional communications and collaboration to meet project deadlines.
• Demonstrated success collaborating with clients and effectively communicating project outcomes, methodologies, and considerations to key stakeholders.
• Successful track record in independently conducting complex analyses and guiding junior team members through complex/ ambiguous issues.
• Successful track record quality checking personal work and peer reviewing analyses of junior team members.
All About You
• 10+ years of experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis.
• 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, Snowflake, and other relevant technologies.
• Experience on Python, Spark, Hive, Impala, Scala, Cloud, and other related technologies.
• Experience in automating and creating data pipeline via tools such as Alteryx, SSIS. Nifi is a plus
• Data visualization tools (Tableau, Domo, and/or Power BI/similar tools) experience is a plus
• Experience with data validation, quality control and cleansing processes to new and existing data sources.
• Financial Institution or a Payments experience a plus
Additional Competencies
• Excellent English, quantitative, technical, and communication (oral/written) skills.
• Ownership of end to end Project Delivery/Risk Mitigation
• Virtual team management and manage stakeholders by influence
• Analytical/Problem Solving
• Able to prioritize and perform multiple tasks simultaneously
• Strong attention to detail and quality
• Creativity/Innovation
• Self-motivated, operates with a sense of urgency.
• In depth technical knowledge, drive, and ability to learn new technologies.
• Must be able to interact with management, internal stakeholders
Corporate Security Responsibility
Responsibilities
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.

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.