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 65,000
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 Analytics Manager is a key member of the Visa Analytics team. 

As a manager you will be accountable for
leading the design, development and implementation of analytics driven
strategies and solutions. In this role
you will partner with Visa Analytics, Business, and Technology teams across the
organization to implement solutions to drive business performance.

The Analytics team within Visa
Analytics is responsible for blueprinting and delivering projects with the
appropriate analytic methodologies and techniques to solve client’s business
objectives. The team closely collaborates with other analytic stakeholders to
understand the business problem in order to determine the most appropriate
analytic approach that provides meaningful results to clients. Responsibilities
include delivering projects on time and within scope with an in-depth knowledge
of big data and cutting edge data mining techniques as well as the use of
predictive, classification and alternate analytic algorithms for modeling and
segmentation. These analyses are foundational to corroborate or refute stated
hypotheses and are incorporated in the final client-facing solutions. The team
is responsible for continuously creating and protecting analytic IP resulting
from project learning

The Analytics Delivery is the engine of analytics at Visa; this is a high-performing team of data scientists,
data analysts, statisticians, and business analysts from a variety of countries
– serving the Asia Pacific, Central Europe, Middle East and Africa geographies.
Visa Analytics is looking for a hands-on manager, a person that earns trust and
respect of the team. The Manager must be results oriented, highly organized,
and must, must be focused on delivering innovative analytics work.

This role doesn't involve team management.

Responsibilities

1. Directing the execution of
   multiple medium to large analytic projects along with rest of the
   stakeholders in the Visa analytics team


2. Collaborating with the Client
   Solution Design and Analytics Business Partner leads to fully understand
   business requirements and desired business outcomes


3. Defining detailed analytic scope
   and methodology, and creating analytic plan


4. Executing on the analytic plan
   with appropriate data mining and analytic techniques


5. Performing QA on data and
   deliverables by analysts and own deliverables


6. Ensuring all project
   documentation is up to date and all projects are reviewed per analytic
   plan


7. Ensuring project delivery within
   timelines and budget requirements


8. Building on team’s analytical
   skills and business knowledge


9. Enhancing existing analytic
   techniques by promoting new methodology and best practices in analytics
   field


10. Providing subject matter
    expertise and quality assurance of complex data driven analytic projects

Professional

• Minimum of 5 years of analytical expertise in applying statistical solutions to business problems
• Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent
  experience
  
• Understanding of Payments and
  Banking Industry including Consumer Credit, Consumer debit, Small
  Business, Commercial, Co-Brand and Merchant
  
• Experience planning, organizing,
  and managing multiple large projects with diverse cross-functional teams
  
• Demonstrated ability to
  incorporate new techniques to solve business problems
  
• Demonstrated resource planning
  and delivery skills

Technical

Expert level knowledge of advanced data mining and statistical modeling: Predictive modeling
techniques (e.g., binomial and multinomial regression, ANOVA);
Classification techniques (e.g., Clustering, Principal Component Analysis,
factor analysis); Decision Tree techniques (e.g., CART, CHAID)

• Deep SAS experience; proficiency
  and continuous skills development in leading edge analytic tools, e.g. SAS
  OR, Tableau, Revolution R, SPSS, SAP BO. Hands on Hadoop experience is a
  plus


• Hands on experience on processing
  extremely large data sets. Knowledge of payment network transactional data
  is a plus


• Ability to solve business
  problems through data driven quantitative methodologies


• Define and design analytic
  approaches to business problems


• Ensure the usage of the correct
  analytic measures and metrics to solve the business problem


• Deliver results within scope and timelines


• Define and execute quantitative
  and financial analysis for key clients


• Strong project management skills
  and experience


• Excellent understanding of data
  marts, data relationship concepts and data processing


• Excellent communication skills in
  both spoken and written English (upper intermediate plus)

Business

Results oriented with strong
analytical and problem solving skills, with demonstrated intellectual and
analytical rigor

• Good business acumen with strong
  ability to solve business problems through data driven quantitative
  methodologies. Experience in payment, retail banking, or retail merchant
  industries is preferred


• Team oriented, collaborative,
  diplomatic, and flexible style, with the ability to tailor data driven
  results to various audience levels


• Very detailed oriented, is
  expected to ensure highest level of quality/rigor in reports & data
  analysis


• Proven skills in translating
  analytics output to actionable recommendations, and delivery


• Experience in presenting ideas
  and analysis to stakeholders


• Exhibit intellectual curiosity
  and strive to continually learn