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Analyst, Advanced Data & Insights - job 1 of 4

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.

Average salary estimate

$65000 / YEARLY (est.)
min
max
$50000K
$80000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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

Join Visa as an Analyst in Advanced Data & Insights, where your passion for data and the payment ecosystem can truly shine! At Visa, we are a global leader in payments technology, processing an astounding 259 billion transactions a year. This role is part of our Global Business Optimization team, where you’ll transform vast amounts of data into actionable insights to drive business value. You’ll be on the frontline of data extraction, cleaning, analysis, and visualization, utilizing tools like Python and Tableau to solve complex problems. With your deep understanding of cardholder behavior, you’ll work closely with our stakeholders to develop creative solutions that genuinely make a difference. If you have intermediate to advanced skills in data analysis and enjoy a fast-paced environment, this hybrid position in Madrid might be the perfect fit for you! Collaborate with a focused team to maintain strategic reports, validate high-quality data, and make analyses accessible to broad audiences. At Visa, we value innovative thinking and teamwork, so if you're excited about diving into big data challenges and developing advanced analytics, we'd love to have you on board. Join us in our mission to uplift everyone, everywhere, by being the best way to pay and be paid!

Frequently Asked Questions (FAQs) for Analyst, Advanced Data & Insights Role at Visa
What are the responsibilities of an Analyst in Advanced Data & Insights at Visa?

As an Analyst in Advanced Data & Insights at Visa, you'll be responsible for data extraction, cleaning, analysis, validation, and visualization. You'll interpret complex payment data to generate actionable insights, collaborate with various teams, and maintain strategic reports to support data-driven decision-making across the organization.

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What qualifications are required for the Analyst, Advanced Data & Insights position at Visa?

To qualify for the Analyst, Advanced Data & Insights position at Visa, you should have a genuine passion for data and the payments ecosystem, as well as intermediate to advanced skills in data analysis tools such as Excel, SQL, Python, and Tableau. Fluency in English is required, and familiarity with data-driven decision-making in a corporate environment is essential.

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What tools and software will an Analyst at Visa use?

As an Analyst at Visa, you'll use various tools and software for data analysis, including Excel for spreadsheets, SQL for database queries, Python for programming and data manipulation, and Tableau for data visualization. Proficiency in MS Office applications is also necessary for reporting and communication.

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How does the Analyst role at Visa support internal stakeholders?

The Analyst role at Visa supports internal stakeholders by delivering actionable insights based on complex data analyses. This includes providing analytical support on platforms and tools, developing visualizations, and training teams on data interpretation strategies, thereby enabling them to leverage data for better decision-making.

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What kind of team environment can an Analyst expect at Visa?

As an Analyst at Visa, you can expect a collaborative and dynamic team environment. You'll work alongside a group of expert data analysts on various local and global projects, contributing to a culture of innovation and creativity while solving big data challenges together.

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Common Interview Questions for Analyst, Advanced Data & Insights
Can you describe your experience with data analysis tools like Python and Tableau?

When answering this question, detail your proficiency levels and specific projects where you've used Python for data manipulation or Tableau for visualizations. Share how these tools helped you solve a business problem or derive insights, emphasizing any innovative solutions you developed.

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How do you approach cleaning and preparing data for analysis?

Discuss your step-by-step process for data cleaning, including identifying errors or inconsistencies in the data, using scripts to automate data transformation, and validating the data quality. Provide examples from past experiences to illustrate how a meticulous approach improved your analysis outcomes.

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What insights have you derived from analyzing cardholder behavior?

In your response, provide specific examples of insights you've gained from similar analysis. Discuss the methods you used to interpret the data and how you translated those insights into actionable business strategies or recommendations that benefited your team or organization.

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Describe a time when you had to explain complex data to non-technical stakeholders.

Share an example where you effectively simplified complex data or analytics findings. Highlight your communication skills, focusing on how you tailored your explanation to ensure clarity, used visual aids where necessary, and engaged with your audience to facilitate understanding.

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How do you ensure data quality and reliability in your work?

Explain your approach to validating data, which can include cross-checking against multiple data sources, using automated checks for accuracy, and establishing a routine for reviewing data integrity. Discuss how prioritizing data quality has led to more reliable insights in your past projects.

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What challenges have you faced in working with big data and how did you overcome them?

Share specific challenges related to big data, such as processing speed or handling unstructured data. Describe the strategies you employed to overcome these hurdles, including leveraging specific tools, optimizing processes, or collaborating with team members for creative solutions.

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Can you give an example of how you've contributed to a team's strategic report?

Discuss a particular project where your contributions to the analysis or reporting process were significant. Detail your role, the tools or methodologies you employed, and the impact your analysis had on the team's strategic decisions or on broader organizational objectives.

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What methods do you use for data visualization, and how do you decide on the best format?

Outline the methods you prefer for data visualization, such as graphs, charts, and dashboards. Discuss how you evaluate the audience and the data context to determine the most effective format for communication, and provide examples of visualizations that led to meaningful insights.

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How do you stay updated with the latest trends in data analytics?

Mention specific resources you follow, such as industry blogs, online courses, webinars, or professional networks. Discuss how actively participating in the data analytics community or engaging in continuous learning helps you apply innovative practices in your work.

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What does a successful project look like to you in terms of data analysis?

Describe the elements you believe contribute to a successful data analysis project, such as clear objectives, collaboration with stakeholders, thorough methodology, and actionable insights delivered on time. Provide an example that encapsulates these elements and its positive outcomes.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
April 10, 2025

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