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 Global Business Optimisation (GBO) team mission, as part of the Client Services (CS) organization, is to turn massive amounts of data into actionable insights that drive business value while working closely with Visa’s stakeholders to build creative solutions. Our Advance Data Analytics and Insights analysts are experts in data, coding, payment processing (including authorization and authentication), and creative thinking. We couple in-depth analysis of cardholder behaviour with Visa’s world-class products to address meaningful business problems.

In this role the analyst interprets and manage data to solve complex problems utilizing skills in data extraction, pre-processing, cleaning, visualization, and the use of tools like python, and Tableau. They are actively involved with all other teams in CS, supporting and developing new insights that help create, manage, and deliver actionable insights to both internal and external stakeholders.

Specific activities may include:

Data extraction: using your payment knowledge you will be responsible for extracting the correct data from numerous databases.
Data cleaning: perform data preprocessing, including cleaning and transforming data into usable information.
Data analysis: apply payments knowledge to interpret data and generate actionable insights.
Data validation: validate data extracted by you and others in the team to control data quality/ reliability.
Data visualization: develop visualizations to make complex analyses accessible to a broad audience.
Provide analytical and support about platforms, tools and data to internal stakeholders including delivering SME training.
Maintain highly strategic reports.
Work with a pan-European team and contribute to local and global projects across Visa.
Work in a Big Data environment with its technical challenges.
Be an out-of-the-box thinker who is passionate about brainstorming and implementing innovative ways to use our unique data to answer business problems.
Keen interest in working with a team of expert’s data analysts to create Advance Analytics, e.g.: training and deploying Machine Learning models, developing statistical analysis, etc.

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

Qualifications

A genuine passion for data, and about the payment’s ecosystem. Intermediate to advance level skills in using data analysis tools and software. Excel, SQL, Python, and Tableau. Proficient in all MS Office applications. Confidence working in a high pace and dynamic environment, following several work streams at the same time. Experience in a corporate environment with data-based decision-making or quantitative analysis. Ability to turn complex data subjects into easily understandable concepts. Desirable Strong verbal, written, and interpersonal skills (fluency in English is required while knowledge of an additional European language is a plus). Experience of creating business value from data. Knowledge of authorisation and/ or authentication processing.

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.