Develop, upgrade and deliver scalable Business Intelligence products by understanding regional needs and tradeoffs that serve an array of customer segments
Independently identify trends, patterns, issues, and anomalies in defined area of analysis, and
structure and synthesize own analysis to highlight relevant findings
Coordinate across cross-functional teams for product usage, solve challenges and continuous product enhancement
Support the product strategy including such as distribution of reporting products through the platforms
Work with the Global Product Management team to prioritize development efforts as they align against product strategy
Build strong working relationships with a diverse group of internal and external stakeholders to achieve product goals
All About You
Undergraduate degree with data and analytics experience in business intelligence and/or
descriptive, predictive, or prescriptive analytics
Leverage diverse analytic tools (R, SQL, etc.) for end-to-end ownership of delivering scaled analytic products
Additional data and analytics experience in building, managing, and maintaining database structures, working with data visualization tools (e.g., Tableau, Power BI), or working with Hadoop framework and coding using Impala, Hive, or PySpark
Ability to analyze large datasets and synthesize key findings to provide recommendations via
descriptive analytics and business intelligence
Strategic mind set to solve complex and ambiguous problems
Keen understanding of competitive offerings and industry trends in the market
Understand the self-service analytics space, and the ability to translate that understanding into meaningful actions and enhancements
Excellent written and verbal communication skills including the ability to interface with clients
Highly organized and able to deal with multiple and competing priorities
Knowledge and skills using product management tools, (e.g. market and product plans, project timelines, marketing research, pricing, business case development)
Dynamic Yield by Mastercard enables teams to build personalized, optimized, and synchronized digital customer experiences, enhancing revenue and customer loyalty.