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Analyst, Visa Consulting and Analytics (VCA), Data Services Practice

AT Visa
Visa

Analyst, Visa Consulting and Analytics (VCA), Data Services Practice

Buenos Aires, Argentina

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

The Visa Consulting and Analytics team is looking for a high-performance individual to join its team and play a key role in developing and delivering high impact projects across the South Cone (SOCO) region. The potential candidate will support engagements with Visa Clients, by delivering, implementing and executing projects and solutions on behalf of issuers, acquirers and merchants. This person will support initiatives to promote sustainable and profitable growth, thereby ensuring that Visa is both, the preferred brand and unique business partner.

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The ideal candidates are problem solvers, equipped with strong analytical & quantitative skills suited to address key strategic needs for Visa’s clients including issuers, acquirers and merchants.

Adept at creative and critical thinking, they are able to deconstruct problems and transform insights into large scale, state-of-the-art solutions. Candidates must be quick learners with a strong sense of personal responsibility.

Specific duties and responsibilities for this position include but are not limited to:

Work with large volumes of data, extract and manipulate large datasets using standard tools such as Hadoop Ecosystem, Spark, Python, SQL, etc.

Hands-on skills in cleaning, manipulating, analyzing, visualizing large data sets.

Data Cleansing/Wrangling – This involve parsing and aggregating messy, incomplete, and unstructured data sources to produce data sets that can be used in analytics/predictive modeling.

Enhance and optimize codes that scale critical business processes.

Develop and validate advance data mining tools, algorithms, and other capabilities to solve business problem. Experience doing ML using R, Python (scikit-learn, etc.) or other similar software.

Find opportunities to create and automate repeatable analyses or build streamlined solutions for business consultant and Visa’s clients.

Support the implementation of complex models and data pipelines on large datasets.

Design and develop dashboards using Tableau or Power BI.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualifications
-BS in engineering, computer science, statistics, or other related fields or an
Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications
-3+ year of experience with the ability to come up with practical algorithms and
write high quality code quickly for analyzing gigabyte to terabyte-scale data.
-Understanding of algorithms and ability to optimize various program complexities
using suitable data structures.
-Experience using SQL and Python.
-Experience with using distributed computing technologies, including Hadoop
(MapReduce, Pig and Hive) and Spark to write data analytic processing jobs both
in batch and streaming against structured and unstructured data
-Experience in at least one visualization tool such as Power BI or Tableau.
-Ability to manage multiple projects efficiently and able to meet deadlines
-Quick-thinker, fast learner, wide general knowledge, problem solver
-Team worker, responsible, delivery-oriented
-English and Spanish (Portuguese a plus).

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.

Client-provided location(s): Buenos Aires, Argentina
Job ID: 6b9cc103-02f4-430d-8a4b-4df8d55fc8a3
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Long-Term Disability
    • HSA With Employer Contribution
    • On-Site Gym
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Health Reimbursement Account
    • Mental Health Benefits
    • Virtual Fitness Classes
    • HSA
  • Parental Benefits

    • Fertility Benefits
    • Family Support Resources
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
    • Happy Hours
    • Casual Dress
  • Vacation and Time Off

    • Paid Holidays
    • Paid Vacation
    • Volunteer Time Off
    • Summer Fridays
    • Leave of Absence
    • Personal/Sick Days
  • Financial and Retirement

    • 401(K)
    • Relocation Assistance
    • Performance Bonus
    • Stock Purchase Program
    • Company Equity
    • 401(K) With Company Matching
    • Financial Counseling
  • Professional Development

    • Shadowing Opportunities
    • Access to Online Courses
    • Promote From Within
    • Learning and Development Stipend
    • Tuition Reimbursement
    • Mentor Program
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Lunch and Learns
    • Internship Program
    • Professional Coaching
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)