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Consulting Analyst

Visa

Consulting Analyst

Visa

Madrid, Spain

·

On-site

·

Full-time

·

2w ago

Required Skills

Data analysis

SQL

Python

R

Company Description

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.

Progress starts with you.

Job Description

Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintech's, payment enablers and governments.

The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage Visa Net, one of the largest datasets globally, to help clients enhance their performance and increase profitability.

Specific Responsibilities include:

  • Analyze data using statistical software (e.g., Python, R)
  • Extract and aggregate data from large sets using SQL, Hive, Spark and other tools
  • Deploy and support predictive modeling packages and monitor and calibrate production models
  • Solve problems with innovative data science techniques
  • Collaborate with data science colleagues and other Visa teams to provide insights to clients.
  • Automate and create repeatable analyses or self-service tools
  • Ensure timely project delivery to meet business needs
  • Promote data innovations and analytics education within Visa
  • Optimize code for critical business processes
  • Design and develop dashboards using software like Tableau or Power BI
  • Communicate complex concepts clearly and effectively

This is a hybrid position. This requires 3 days per week (Tuesdays, Wednesdays and Thursdays) attendance in the Madrid office.

Qualifications

Basic Qualifications:

2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications:

  • 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
  • Background in machine learning, AI, scalable systems, and large-scale data analysis
  • Experience with advanced data science techniques and tools (Python, Spark, Tensor Flow, etc.)
  • Experience with SQL and Hive for data extraction and aggregation
  • Good communication skills and attention to detail
  • Team player capable of multitasking in a dynamic environment
  • Experience working in the payments industry (bank, credit reference agencies, Fintech, merchants) or management consulting firm.

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.

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About Visa

Visa

A multinational financial services company that facilitates electronic payment systems throughout the world.

10,001+

Employees

Foster City

Headquarters

$500B

Valuation

Reviews

2.0

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.3

10%

Recommend to a Friend

Pros

Active recruiting for senior positions

Work authorization support for spouses

Opportunity to seek external roles

Cons

Toxic work environment

Below-market compensation offers

Poor management and leadership

Salary Ranges

23 data points

Junior/L3

Mid/L4

Junior/L3 · Analyst

1 reports

$106,195

total / year

Base

$92,300

Stock

-

Bonus

-

$106,195

$106,195

Interview Experience

4 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 75%

Negative 25%

Interview Process

1

Application Review

2

Online Assessment

3

Phone Screen

4

Technical Interview Rounds

5

Final Round Interview

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design