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Data & Insights Analyst

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

This role derives analytic insights on client performance and helps to deliver findings from those analyses to external and internal stakeholders.  Prior to completing an analysis, this role will formulate and source the necessary datasets from internal tools and platforms, rendering insights in compelling presentations and visualizations. 

Essential Functions and responsibilities include:

  • Create and present analytic deliverables to internal and external Visa clients, colleagues in the analytics team, and other internal stakeholders with varying degrees of analytical and technical expertise
  • Get to an understanding of root problems, define analytical objectives and formalize data requirements for various types of analyses.
  • Combine and analyze disparate data sources and derive insights in a Big Data environment (Hadoop, Hive, Spark)
  • Read queries and make changes or corrections to the code when needed
  • You will be expected to have a medium level knowledge on a programming language such as SQL, Python, R
  • Proactively facilitate the overall analytic delivery strategy for the organization
  • Compare client performance against industry best practices with a shrewd eye toward identifying performance and/or profitability improvement opportunity
  • Develop presentations of complex data and content for clients in an accurate, understandable, and engaging manner

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

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)
  • Basic level of proficiency manipulating data from a variety of sources - Big data skills (Hadoop, Hive, Spark) and/or SQL skills required
  • Must speak fluent English and Spanish
  • Medium level of programming language knowledge, including languages such as SQL, Python, and R
  • 3 or more years of work experience with a Bachelor’s Degree (in fields like engineering, computer science, IT, economics, data science, and related ones) or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
  • A minimum of 3-5 years’ experience working in data analysis and/or insight delivery with a proven record of creating business value from data
  • 4-year college degree in a quantitative field
  • Experience visualizing data with tools like Tableau
  • Strong verbal, written, and interpersonal skills are required
  • Must be proficient in all MS Office applications with advanced Excel spreadsheet skills
  • Visa experience or knowledge of the payments industry is a plus

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

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.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 87,200.00 to 123,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Average salary estimate

$105300 / YEARLY (est.)
min
max
$87200K
$123400K

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 Data & Insights Analyst, Visa

If you're looking for an exciting opportunity to dive into the world of data while working for a global leader, look no further than Visa's Data & Insights Analyst position in sunny Miami, FL! In this role, you'll be the mastermind behind extracting powerful analytic insights on client performance. You'll not only analyze relevant data but also communicate your findings effectively to both internal teams and external clients. As part of your day-to-day, you'll harness the power of tools like Hadoop, Hive, and Spark to unravel complex datasets, all while employing your SQL, Python, or R programming skills. Your ability to create visually engaging presentations will be crucial as you share your insights, ensuring that all stakeholders, regardless of their technical background, can grasp your analysis. Furthermore, the role allows for hybrid work, giving you the benefit of flexibility while collaborating with a dynamic analytics team. So, if you're ready to elevate your career by making a real impact on a global scale, Visa is the place for you. Join us and experience Life at Visa, where we uplift everyone, everywhere, by being the best way to pay and be paid!

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

As a Data & Insights Analyst at Visa, your main responsibilities include creating and presenting analytic deliverables to internal and external stakeholders, analyzing disparate data sources, and deriving actionable insights in a Big Data environment. You'll also need to define analytical objectives, facilitate the analytic delivery strategy, and compare client performance to industry standards.

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What qualifications are needed for a Data & Insights Analyst role at Visa?

To qualify for the Data & Insights Analyst position at Visa, candidates should have a Bachelor’s Degree and a minimum of 2 years of experience, or an Advanced Degree with relevant work experience. Proficiency in SQL and familiarity with programming languages like Python or R are essential, along with strong communication skills.

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What skills are important for a Data & Insights Analyst at Visa?

Important skills for a Data & Insights Analyst at Visa include proficiency in Big Data tools (Hadoop, Hive, Spark), programming knowledge (SQL, Python, R), advanced Excel skills, and the ability to visualize data effectively using tools like Tableau. Strong verbal and written communication skills are crucial to convey complex data insights clearly.

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Is there a travel requirement for the Data & Insights Analyst position at Visa?

Yes, the Data & Insights Analyst position at Visa does require some travel, about 5-10% of the time. This travel is typically to meet clients or collaborate with team members in different locations.

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What does a typical day look like for a Data & Insights Analyst at Visa?

A typical day for a Data & Insights Analyst at Visa involves sourcing datasets, conducting analyses, creating presentations of findings, and meeting with stakeholders. You'll work on various analytics projects, aiming to deliver insights that drive business decisions and improve client performance.

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Common Interview Questions for Data & Insights Analyst
How do you approach data analysis for a new client project?

When approaching data analysis for a new client project, I start by understanding the client's goals and requirements. I collaborate with stakeholders to define the analytical objectives and determine the necessary data sources. Once I have a clear understanding, I extract and manipulate data to derive insights tailored to the client's needs.

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Can you explain your experience with Big Data technologies like Hadoop or Spark?

Certainly! I have hands-on experience using technologies like Hadoop and Spark to process and analyze large datasets. I utilize their functionalities to manage data storage and processing effectively, all while employing different analytic methods to extract meaningful insights.

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Describe a time when you had to present data insights to a non-technical audience.

In my previous role, I had to present data insights to a group of stakeholders with varying levels of analytical expertise. I focused on simple visuals and clear narratives to explain the data, ensuring that I highlighted actionable insights and implications rather than technical jargon.

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What tools do you use for data visualization, and why?

I primarily use Tableau for data visualization due to its user-friendly interface and powerful capabilities. It allows me to create engaging and interactive dashboards that effectively communicate complex data, making it accessible for stakeholders across different departments.

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How do you ensure data accuracy in your analyses?

To ensure data accuracy in my analyses, I perform thorough validation checks on the datasets before diving into any analysis. I cross-reference data against reliable sources and stay attuned to any discrepancies, which I address promptly to maintain the integrity of my findings.

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What programming languages are you proficient in for data analysis?

I am proficient in SQL, Python, and R. I use SQL for database querying, Python for data manipulation and analysis, and R for statistical analysis and visualization, depending on the project requirements.

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Give me an example of how you've influenced decision-making with data.

In my last position, I provided insights from client performance analysis that highlighted areas for improvement. My findings led to strategic changes in the marketing approach, which ultimately resulted in a 15% increase in client engagement.

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What steps do you take to stay current in your field?

I stay current in my field by attending workshops, participating in webinars, and regularly engaging with data science communities online. I also keep an eye on new technologies and best practices in data analytics to continuously enhance my skills.

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How do you prioritize conflicting deadlines in your work?

When faced with conflicting deadlines, I assess the urgency and impact of each task. I prioritize based on client needs and project scope, and I communicate with stakeholders to set realistic expectations.

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What did you learn from your last data analysis project?

From my last data analysis project, I learned the importance of combining qualitative insights with quantitative data. This holistic approach led to more meaningful conclusions and better recommendations for our clients.

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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
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March 29, 2025

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