To ensure that Visa's payment technology is truly available to everyone, everywhere requires the success of key bank or merchant partners and internal business units
Requirements
- Extracting and aggregating data from large data sets using SQL/Hive or Spark
- Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark
- Generating and visualizing data-based insights in software such as Tableau
- Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, and/or SAS
- Data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.)
- Managing and organizing work in Office software such as Word, Excel, PowerPoint and/or Teams
- Communicating data-driven insights and conveying actionable recommendations
Responsibilities
- Use and build new predictive models to innovate and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes
- Provide technical leadership in a team that generates business insights based on big data, identify impactful recommendations, and communicate the findings to clients
- Running projects from scoping to delivery, and engaging with internal/external partners
- Connect with clients to understand the challenges they face and convince them with data
- Find opportunities to craft products out of analyses that are suitable for multiple clients
- Work with partners throughout the organization to find opportunities demonstrating Visa data to drive business solutions
- Synthesize ideas/proposals in writing and engage in productive discussions with external or internal partners
Other
- 5 or more years of relevant work experience with a Bachelors 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 Bachelors 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
- Managing analytics/data science projects from scoping to delivery, and engaging with internal/external stakeholders
- Prioritize and lead multiple data science projects with diverse multi-functional partners
- Provide mentorship in modern analytic techniques and business applications
