Process Optimization Analyst
Process Optimization Analyst
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Job Description
Functional Summary
The GTM Optimization and Business Health team has a simple mission: we turn massive amounts of data into robust tools and actionable insights that drive business value ensure ecosystem integrity and provide best in class experience to our money movement clients. Our team is working to build consolidated strategic and scalable analytics and monitoring infrastructure for commercial and money movement products.
Responsibilities
The Process Optimization Analyst will create risk rules and performance monitoring dashboards and alerting tools and will use these to monitor transactions in near real time investigate alerts and anomalous events and partner with internal teams to investigate and manage incidents from end-to-end. Specific activities may include:
- Develop monitoring and alerting tools from real-time data feeds to monitor for performance drops risk and fraud events and rules violations
- Monitor near real time alerting tools and investigate and generate incidents for risk events and out of pattern activity
- Manage a caseload to ensure appropriate investigation and resolution of identified risk and performance events
- Drive to understand the root problems define analytical objectives and formalize data requirements for various types of dashboards and analyses
- Design and launch robust and intuitive dashboards supporting best in class money movement client experience
- Create and present analytic deliverables to colleagues in the analytics team other internal stakeholders with varying degrees of analytical and technical expertise
- Distill massive amounts of data across disparate data sources into efficient functional data repositories in a Big Data environment
- Independently perform analysis to derive insights and render robust thoughtful results
- Partner with Visa Direct and money movement teams across multiple areas of the business to understand their data and reporting needs
- Compare client performance against industry best practices with a shrewd eye toward identifying performance and/or profitability improvement opportunity
- Develop presentations of complex data and content for clients in an accurate understandable and engaging manner
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Basic Qualifications:
3 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
Preferred Qualifications:
3 or more years of work experience with a Bachelors Degree or 2 or more years of relevant experience with an Advanced Degree (e.g. Masters MBA JD MD) or up to 1 years of relevant experience with a PhD
Experience monitoring real-time data and following incident management workflows
Familiarity with Microsoft Dynamics or other ERP/CRM tools
Proficiency in Tableau and experience with best in class data visualization
Experience with Elasticsearch and Kibana dashboard and alerting
High level of proficiency manipulating data from a variety of sources - Big data skills (Hadoop Hive Spark) and/or SQL skills required
Strong verbal written and interpersonal skills
Proficient in all MS Office applications with advanced Excel spreadsheet skills
Functional knowledge of programming languages such as Python Java and/or Shell Scripting
Strong strategic thinking problem-solving and decision-making abilities with the ability to translate complex data into actionable insights
Visa experience or knowledge of the payments industry
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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
