Essential Functions
Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems
Communicate with clients to understand the challenges they face and convince them with data
Extract and understand data to form an opinion on how to best help our clients and derive relevant insights
Develop visualizations to make your complex analyses accessible to a broad audience
Find opportunities to craft products out of analyses that are suitable for multiple clients
Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions.
Mine and analyze data from company databases to drive optimization and improvement of product marketing techniques and business strategies for Visa and its clients
Assess the effectiveness 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 advertising targeting and other business outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Basic Qualifications
- 2 or more years of work experience with a Bachelors Degree or an Advanced Degree (e.g. Masters MBA JD MD or PhD)
Preferred Qualifications
- 3 or more years of work experience with a Bachelors Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters MBA JD MD)
- 2 years experience in data-based decision-making or quantitative analysis
- Bachelors degree in an analytical field such as statistics operations research economics computer science or many others (graduate degree is a plus)
- Experience with extracting and aggregating data from large data sets using SQL or other tools
- Competence in Excel PowerPoint and Tableau
- Experience in machine learning model development and deploymentÂ
- Experience in understanding and analyzing data using statistical software (e.g. Python R Stata or others)
- Previous exposure to financial services credit cards or merchant analytics is a plus but not required
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa welcomes and encourages applications from persons with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Remote Work :
No
Employment Type :
Full-time
Essential FunctionsBe an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problemsCommunicate with clients to understand the challenges they face and convince them with dataExtract and understand data to form an opinion on how to ...
Essential Functions
Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems
Communicate with clients to understand the challenges they face and convince them with data
Extract and understand data to form an opinion on how to best help our clients and derive relevant insights
Develop visualizations to make your complex analyses accessible to a broad audience
Find opportunities to craft products out of analyses that are suitable for multiple clients
Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions.
Mine and analyze data from company databases to drive optimization and improvement of product marketing techniques and business strategies for Visa and its clients
Assess the effectiveness 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 advertising targeting and other business outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Basic Qualifications
- 2 or more years of work experience with a Bachelors Degree or an Advanced Degree (e.g. Masters MBA JD MD or PhD)
Preferred Qualifications
- 3 or more years of work experience with a Bachelors Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters MBA JD MD)
- 2 years experience in data-based decision-making or quantitative analysis
- Bachelors degree in an analytical field such as statistics operations research economics computer science or many others (graduate degree is a plus)
- Experience with extracting and aggregating data from large data sets using SQL or other tools
- Competence in Excel PowerPoint and Tableau
- Experience in machine learning model development and deploymentÂ
- Experience in understanding and analyzing data using statistical software (e.g. Python R Stata or others)
- Previous exposure to financial services credit cards or merchant analytics is a plus but not required
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa welcomes and encourages applications from persons with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Remote Work :
No
Employment Type :
Full-time
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