Consulting Analyst at Visa

Madrid, Community of Madrid, Spain -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Software, Python, R, SQL, Hive, Spark, Predictive Modeling, Data Science, Tableau, Power BI, Data Analysis, Code Optimization, Project Delivery, Communication, Machine Learning, AI

Industry

IT Services and IT Consulting

Description

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 VisaNet, 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, TensorFlow, 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. Job Family Group: Product Development

Responsibilities

Specific responsibilities involve analyzing data using statistical software, extracting and aggregating data from large sets using tools like SQL and Spark, and deploying/monitoring predictive modeling packages. The role also requires collaborating with teams to provide client insights, automating analyses, and designing dashboards using software like Tableau or Power BI.