Senior Business Intelligence Analyst
OmnidianSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, BiotechnologyIndustries
Requirements
- 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)
- 3 or more years of work experience with a Bachelor’s 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
- Bachelor’s 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 deployment
- 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
Responsibilities
- 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
Skills
Data Analysis
Predictive Modeling
Data Modeling
Algorithms
Data Visualization
Stakeholder Communication
Business Strategy
Data Mining
Visa
Global digital payment network provider
About Visa
Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.
San Francisco, CaliforniaHeadquarters
1958Year Founded
$55.8MTotal Funding
ANGEL_INDIVIDUALCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees
Benefits
Health Insurance.
Life Insurance.
Dental Insurance.
Disability Insurance.
Accidental Death & Dismemberment Insurance.
Risks
CBDCs could reduce reliance on Visa's payment network.
'Buy Now, Pay Later' services may decrease traditional credit card transactions.
Fintech startups offering zero-fee transactions could pressure Visa's revenue model.
Differentiation
Visa operates a global digital payment network connecting millions daily.
The company focuses on financial inclusivity and sustainability in its operations.
Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).
Upsides
Visa's partnership with fintechs enhances cross-border payment solutions.
Adoption of blockchain technology could revolutionize digital payments.
AI-driven fraud detection systems are reducing fraudulent activities.
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