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Analyst, Advanced Data & Insights - job 4 of 4

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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

Bachelor’s Degree or an Advanced Degree (e.g., Master's, MBA, JD, MD, or PhD) in a relevant field
1-2 years of working experience in a relevant field
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.

What You Should Know About Analyst, Advanced Data & Insights, Visa

If you're passionate about data and looking to make a big impact, we at Visa are excited to invite you to apply for the Analyst, Advanced Data & Insights position in Warsaw, Poland. As a leading player in payments technology, Visa thrives on the innovation and creativity of our team, and we're looking for someone who can turn massive amounts of data into actionable insights. In this role, you'll work closely with our Global Business Optimisation (GBO) team under the Client Services (CS) organization. You'll become a data expert, diving deep into cardholder behavior and leveraging Visa's world-class products to tackle complex business challenges. Your responsibilities will include data extraction and cleaning, using tools like Python and Tableau to visualize and interpret the data. You'll have the chance to validate data accuracy, contribute to strategic reporting, and brainstorm novel ways to harness data to answer critical business questions. Collaboration is key; you'll be part of a pan-European team, offering insights that drive value across various projects. So if you're ready to take your analytics skills to the next level and work in a dynamic environment with plenty of growth potential, we can't wait to hear from you!

Frequently Asked Questions (FAQs) for Analyst, Advanced Data & Insights Role at Visa

What are the responsibilities of an Analyst, Advanced Data & Insights at Visa?

As an Analyst, Advanced Data & Insights at Visa, your primary responsibilities involve data extraction, cleaning, and analysis to generate actionable insights. You'll work with advanced tools like Python and Tableau, manage data validation, and create visualizations to simplify complex data for customers and stakeholders. You'll also engage in collaborative projects across Visa, contributing to the development of strategic reports and unique data solutions.