Senior Data Analytics Engineer
RPS North AmericaSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Payments, FinTech, TechnologyIndustries
Requirements
- 5+ years of relevant work experience with a Bachelor's Degree, or at least 2 years with an Advanced degree (e.g., Masters, MBA, JD, MD), or 0 years with a PhD
- Preferred: 6+ years with Bachelor's, 4+ years with Advanced degree, or up to 3 years with PhD
- Bachelor's or advanced degree in Computer Science, Software Engineering, Statistics, Operations Research, Applied Mathematics, or relevant quantitative domains (or equivalent practical experience)
- 4+ years of experience in data querying languages (e.g., SQL, Hive), scripting languages (e.g., Python, Spark), workflow tools (e.g., Git, Airflow, Artifactory), CI/CD tools (e.g., Git, Jenkins), and deployment tools (e.g., Docker, Kubernetes, Terraform)
- 4+ years of hands-on experience in data science projects using Python packages (e.g., scikit-learn, TensorFlow, PyTorch) and open-source models (e.g., BERT, GPT, stable diffusion)
- 4+ years leading end-to-end data science projects, including business context translation, data sourcing, hypothesis testing, analytics, predictive/prescriptive modeling, consumer behavior understanding, and communicating insights
- Experience writing production-standard, maintainable, scalable code adhering to test-driven development
- Ability to collaborate and communicate with diverse stakeholders (consulting, data science, data engineering, product) to influence decisions
- Ability to think critically about gaps in the data science pipeline
Responsibilities
- Develop and deploy analytical models and techniques within the organization and VCA clients
- Work with large volumes of data, extract and manipulate large datasets using standard tools
- Analyze, clean, and visualize large data sets
- Produce data sets for predictive modeling by parsing and aggregating incomplete, unstructured data sources
- Develop and validate advanced analytics models and algorithms
- Utilize Visa’s data and analytic capabilities to develop and implement consulting solutions
- Continuously present innovative ideas to improve business practices
- Perform client-specific analysis on portfolio data including proprietary information
- Lead transfer of technical knowledge to facilitate business solution implementation
- Document all projects, including coding and other necessary documentation
- Enhance and optimize codes for critical business processes
- Design and develop dashboards using software such as Tableau or Power BI
- Identify opportunities to automate repeatable analysis or build streamlined solutions
- Communicate complex concepts and analysis results clearly and effectively
Skills
Analytical Models
Data Extraction
Data Manipulation
Data Cleaning
Data Visualization
Predictive Modeling
Tableau
Power BI
Dashboards
SQL
Python
R
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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