Visa-posted 7 months ago
$129,400 - $200,500/Yr
Full-time • Entry Level
Remote • Foster City, CA
Credit Intermediation and Related Activities

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. This notice is being provided as a result of the filing of an application for permanent alien labor certification for the below job opportunity. Any person may provide documentary evidence bearing on the application to the Certifying Officer of the Department of Labor.

  • Generate business insights based on big data, identify impactful recommendations, and communicate findings to clients.
  • Brainstorm innovative ways to use our unique data to answer business problems.
  • Extract and understand data to form an opinion on how to best help our clients and derive relevant insights.
  • Develop visualizations to make your sophisticated analyses accessible to a broad audience.
  • Assess the efficiency and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, and other business outcomes.
  • Partner with a variety of Visa teams to provide comprehensive solutions.
  • Synthesize ideas/proposals in writing and engage in productive discussions with external or internal partners.
  • Bachelor's degree in Business Analytics, Statistics, Operations Research, Economics, Computer Science or related field.
  • 2 years of experience in the job offered or in a data scientist or data analyst-related occupation.
  • Experience using macro, pivot table, and key Excel functions to analyze business and financial performance.
  • Experience using PowerPoint to create charts by synthesizing complex analysis into insights appropriate for a business audience.
  • Experience extracting and aggregating data, and creating specific data tables from large data sets using SQL, Hive, Airflow or other data pipeline tools.
  • Experience analyzing large datasets using statistical software/programming language R, Python, SAS, or Stata.
  • Understanding of code optimizations to elevate computing efficiency and derive meaningful insights.
  • Experience in data visualization using Tableau, Python and/or R, including appropriate chart design and selection to illustrate key information from data.
  • Experience building and working with predictive and descriptive statistics models (including regression, classification, clustering, and custom model etc.) using machine learning toolkit, Jupyter Notebook, Python and/or Hadoop.
  • Medical
  • Dental
  • Vision
  • 401 (k)
  • FSA/HSA
  • Life Insurance
  • Paid Time Off
  • Wellness Program
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