Description
Mastercard is seeking a Director, Global Network Economics & Value Optimization to lead the execution of strategic Economics & Value Optimization initiatives that are complex and require a global view and coordination.
The successful candidate will be responsible for developing data-driven innovative scalable analytical solutions and identifying opportunities to support Pricing and Interchange team in a quantitative manner and facilitate informed recommendations / decisions.
Key responsibilities include:
- Performing simulations and creating predictive models, behavioral segmentation frameworks, profitability analyses, ad hoc reporting, and data visualizations
- Working closely with global & regional pricing teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data
- Contributing to the development of custom analyses and solutions, deriving insights from extracted data to solve critical business questions
- Translating client/stakeholder needs into technical analyses and/or solutions in collaboration with internal and external partners and presenting findings and outcomes to clients/stakeholders
- Delivering high-quality project solutions and tools within agreed-upon timelines and budget parameters and conducting post-implementation reviews
- Serving as a primary point of contact for client managers and liaising frequently with internal stakeholders to gather data or inputs needed for project work
- Delegating and reviewing work for junior-level colleagues to ensure downstream applications and tools are not compromised or delayed
- Serving as a mentor for junior-level colleagues, and developing talent via ongoing technical training, peer review, etc.
The ideal candidate will have:
- Intellectual curiosity and enthusiasm to apply data to discover and solve business challenges and questions
- Prior experience in data management, data mining, data analytics, data modeling and 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, Scala, Hive, Impala, Spark, Cloud, and other related technologies
- Experience in data pipeline creation via tools such as Alteryx, SSIS, etc.
- Advanced knowledge of any of the job scheduling tools such as Apache Airflow, NIFI, and other related tools
- Experience with any one of data visualization tools (Tableau, Alteryx, and/or Power BI/similar tools)
- Experience with data validation, quality control, and cleansing processes to new and existing data sources
- Experience developing complex analytics applications and data consulting
- Financial Institution or a Payments experience a plus
- Problem-solving mentality, resourcefulness, and creativity in identifying solutions
- Strong interpersonal skills, ability to build professional relationships, influence, and negotiate
- Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner with both technical and non-technical customers
- Software development life cycle experience on analytics engagements across strategy, design, and implementation
- Prior experience with machine learning algorithms and methods, predictive analytics, and optimization models and leveraging APIs is desirable