
Manager, Visa Consulting and Analytics (VCA), Data Science Practice
- São Paulo - SP
- Permanente
- Período integral
- Develop and grow exceptional internal client relationships
- Develop and deploy analytical models and techniques within the organization and VCA's clients
- Hands-on skills in cleaning, manipulating, analyzing, visualizing large data sets.
- Data Cleansing/Wrangling - This involve parsing and aggregating messy, incomplete, and unstructured data sources to produce data sets that can be used in analytics/predictive modeling.
- Develop and validate advance data mining tools, algorithms, and other capabilities to solve business problem.
- Utilize Visa's data and analytic capabilities, technology, and industry expertise to develop, standardized and implement the consulting analytical solutions.
- Identify relevant market trends based on a deep analysis of payment industry Information. Interacting with several internal and external stakeholders for the strategic definition of analysis and initiatives.
- Continuously develop and present innovative ideas in order to improve current business practices within Visa.
- Perform client-specific analysis on portfolio data including proprietary information, such as customer demographics, activity, spend levels and financial information.
- Communicate complex concepts and the results of the analyses in a clear and effective
- 5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD
- 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
- BA/BS required Master's degree preferred (e.g. Statistics, Computer Science, Engineering or related fields).
- 6+ years of overall experience with a preferred minimum of 4 in Banking or Payments Industry.
- Strong interest in the future of payments a must.
- Experience in retail banking, payments, financial services, and/or technology industries
- Prior proven experience in CRM to manage and develop ad-hoc analysis or models.
- Proven Hands-on experience in advanced analytics and statistical modeling including Linear Regression, Logistic Regression, Clustering methods (e.g. K-means), Classification methods (Decision Trees/Random Forest), among others.
- Experience working with large volumes of data (Big Data) - extracting, cleaning and manipulating large datasets using standard tools such as Python/PySpark, SQL, Hadoop/Hive, Presto, SAS, etc.
- Knowledge of visualization tools such as Tableau or PowerBI.
- Continuously develop and present innovative ideas based on data driven approach in order to improve current business practices within Visa, more specifically within the CRM, Portfolio management Practice.
- Excellent project management, organizational and presentational skills.
- Strong teamwork, relationship management and interpersonal skills.
- Ability to multi-task various projects while meeting required deadlines.
- Fluency in English (spoken/written), Spanish is a plus