Develop and plan required analytic projects in response to Merchant Services – Product Platform strategy and roadmap
Execute analytical projects as an individual contributor
Focus on delivering actionable recommendations to merchants on how to optimize their payment performance (authorizations, charge backs, cost of payments)
Work on cross LOB projects to provide insights on new product offerings that can maximize growth opportunities.
Deliver deep, actionable consumer insights that support merchant’s growth agenda
Develop visualizations of analytics insights in Tableau (for consumption of relevant stakeholders)
Contribute to “productization” analytical insights in collaboration with cross-functional teams
Develop new analytical modeling methods and/or tools as required
Work with business domain experts and application developers to identify data relevant for analysis
Create data definitions for new database file/table development and/or changes to existing ones as needed for analysis
In conjunction with data owners and department managers, contribute to the development of data models for analytics
Collaborate with unit managers, end users, development staff, and other stakeholders to integrate data mining results with existing systems
Apply quality assurance best practices for analytics services
Adhere to change control and testing processes for modifications to analytical models
Qualifications:
Experience
5+ years of working in large and medium project teams, as a contributing member in self-directed roles
Bachelor’s Degree in Business Analytics, Finance, Computer Science, Mathematics or related field of study; Advance Degree preferred
Expertise in data mining, quantitative research techniques, theories, principles, and practices
Experience in the payments industry and/or technology-enabled industries
In-depth understanding of the payments value chain (merchants, brands, acquirers, networks, issuers) and associated data assets - or in-depth understanding of consumer insights
Deep experience across the full range of database and business intelligence tools (especially SQL on Snowflake, Alteryx, Tableau); publishing and presenting information in an engaging way
Ability for rapid prototyping in Tableau
Data Science experience in R, Python is a plus
Intensive, recent experience in assessing and sourcing data needs
Strong familiarity and experience with data preparation and processing – such as assessment of data quality, new variable creation, variable selection, etc.Detailed orientation and a commitment to innovation
Skill Requirements
Strong interpersonal and communication skills, ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives
Ability to build trust-based relationships
Strong aptitude for technical concepts and ideas
Ability to work well within deadlines
Executive presence and presentation skills
Strong written and oral communication skills
Understanding “deep data” environments, ideally with a Merchant mindset
High achievement orientation with ability to lead and motivate others around results