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Chief Data Strategist

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São Paulo, São Paulo, Brasil beBeeDataInsights Tempo inteiro R$180.000 - R$230.000
Job Title:

Director of Data Insights

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Job Description:", "

The Director of Data Insights will be responsible for leading the development and deployment of analytical models and assets within our organization and client base. This includes issuers, acquirers, and merchants. The role involves working with large volumes of data, extracting and manipulating datasets using standard tools like Hadoop Ecosystem, PySpark, SAS, Presto, SQL, etc.

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Data cleansing and wrangling involve parsing and aggregating messy, incomplete, and unstructured data sources to produce usable datasets for analytics and predictive modeling. The successful candidate will also develop and validate advanced data mining tools, algorithms, and capabilities to solve business problems.

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The Director of Data Insights will utilize Visa's data and analytic capabilities, technology, and industry expertise to develop, standardize, and implement consulting analytical solutions. This includes identifying relevant market trends based on deep analysis of payment industry information and interacting with internal and external stakeholders for strategic project definition.

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The ideal candidate will continuously develop and present innovative ideas to improve current business practices within Visa, perform client-specific analysis on portfolio data, including proprietary information, communicate complex concepts effectively, and support knowledge transfer to facilitate solution implementation.

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Key qualifications include a BA/BS degree, preferably Master's in Statistics, Computer Science, Engineering, or related fields, 8+ years of overall experience, with at least 5 years in retail banking or payments industry. Strong interest in the future of payments is essential. Proven skills in data cleaning, manipulation, analysis, and visualization are required, as well as prior experience in credit risk or fraud prevention, advanced analytics, and statistical modeling.

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Experience working with large volumes of data, extracting, cleaning, and manipulating datasets using standard tools like Python, PySpark, SQL, Hadoop/Hive, Presto, SAS, etc., is necessary. Knowledge of visualization tools like Tableau or PowerBI is a plus. Excellent project management, organization, and presentation skills are required, along with strong teamwork, relationship management, and interpersonal skills.

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