Common Purpose, Uncommon Opportunity. Everyone at Visa works with one goal in mind –making sure that Visa is the best way to pay and be paid, for everyone everywhere. This is our global vision and the common purpose that unites the entire Visa team. As a global payments technology company, tech is at the heart of what we do: Our VisaNet network processes over 13,000 transactions per second for people and businesses around the world, enabling them to use digital currency instead of cash and checks. We are also global advocates for financial inclusion, working with partners around the world to help those who lack access to financial services join the global economy. Visa’s sponsorships, including the Olympics and FIFA™ World Cup, celebrate teamwork, diversity, and excellence throughout the world. If you have a passion to make a difference in the lives of people around the world, Visa offers an uncommon opportunity to build a strong, thriving career. Visa is fueled by our team of talented employees who continuously raise the bar on delivering the convenience and security of digital currency to people all over the world. Join our team and find out how Visa is everywhere you want to be.

The Account Level Management (ALM) platform is a processing platform that provides services for segmenting client portfolios, processing issuer submitted data, spend assessment calculations, and card fee billing to support many of Visa's premium card products. This group works with different internal stakeholders including
Product Office, Account Execs, Client Support, Pricing, Analytics, Technology and many others.

Developer, ALM Analytics will be a critical member of the team and will have responsibilities
for maintaining and enhancing the ALM Analytics Environment and performing analysis on client file processing and spend assessment results to reduce risk, ensure system accuracy and improve transparency and uncover potential problems upfront. This person will leverage knowledge of big data, database and cutting edge data mining techniques as well as modeling and segmentation. Based on findings from technical data analysis, this person will draw insights and make actionable recommendations that reflect the client's business and
context.   

This position will be responsible for the following activities:

- System accuracy KPIs design, development, deployment and execution

- Enhance Account Level Management (ALM) analytics framework with appropriate data mining and analytic techniques

- Support data visualization

- Become ALM SME

- Manage and execute small to medium analytics projects independently from end-to-end; work
with cross-functional and cross-cultural teams to deliver on these projects

- Extract actionable business insights from the data and build deliverables that clearly
communicate the findings and recommendations

- Find opportunities to create and automate repeatable analyses or build self-service
tools

We are looking for a strong analytic thinker and problem solver, with a blend of business and
technical skills:

- Detail oriented - is expected to ensure highest level of quality/rigor in analysis

- Ability to execute and solve problems independently

- Able to communicate data and technical concepts to a business audience

- High level of competence in Microsoft Office Suite

- Team oriented, energetic, collaborative, diplomatic, and flexible style

- Intellectually curious and continuously striving to learn

Primary Technical skills:

- Excellent hands-on analytical and problem solving skills, with demonstrated intellectual
and analytical rigor

- Experiences with creating complicated and efficient queries in common database (DB2, HBase,
others)

- Experience using Hadoop and the related query engines (Hive / Impala)

- Proficiency with SAS as a statistical package is also highly desirable

- UNIX proficiency is a must

Secondary Technical skills:

- Experience in programming in Python, Spark or similar language

- Experience in data visualization and building dashboards in Tableau

Experience:

- Minimum of 5 years of business experience, with minimum of 2 years of data analysis
involving large volume of data using common analytical/statistical software in
relevant settings such as analytics, business

- Minimum consulting, or other data-driven functions 

- Experiences with monitoring production system to detect and investigate anomalies under tight
time frame

- Preferred to have Post Graduate degree in quantitative field such as Statistics, Mathematics,
Operational Research, Computer Science, Economics, Engineering or equivalent
experience

- Analytics experience in credit cards, financial services, is helpful but not required

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of Article 49 of the San Francisco Police Code.
All your information will be kept confidential according to EEO guidelines.