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Product Analyst, Loyalty & Offers - job 2 of 11

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

We are developing and executing a strategic vision for the Loyalty platforms and products that enable Visa to be the world-leading data-driven payments company. We are seeking a Product Analyst to help define and execute our strategic vision of providing timely, relevant, personalized Loyalty services.

In this role, we are looking for an individual who is highly communicative and excited to solve problems and come up with repeatable best practices in new and growing domains, including AI, Machine Learning, and emerging markets. This role will involve high-level engagement with a variety of partner teams and product areas, supporting partner teams in coordinating strategy, connecting the dots, escalating concerns, and navigating risks.

While a technical or payments background is not expressly required, this role will require engagement with complex technical, legal, and payments-related concepts. We are looking for someone who has an eagerness to learn and develop their subject matter expertise, and who can confidently and articulately reflect this knowledge to help their colleagues solve real world problems and enable success.

 

Essential Functions

  • Understand core elements of our product strategy and represent that strategic vision in conversations with partner teams
  • Develop expert knowledge on the features and business applications of our products and engage with product development and go-to-market teams on a regular basis to assess the viability of opportunities.
  • Develop a working understanding of the regulatory, legal, and other market conditions under which our products operate, and engage with legal and risk partners on a regular basis to assess the viability of opportunities.
  • Work together with partners to develop, refine, execute, and document repeatable and scalable practices
  • Identify and analyze patterns and trends in data and provide both concise and in-depth analysis as required

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)
- 2+ years of Experience in Product Management or Technical Product Management in B2C or B2B AdTech/MarTech, Data-as-a-Product, Data Science, Data Analytics, or AI-related domains.
- Baseline experience with terminology and concepts in all or most of the following: Object-Oriented Programming, APIs and Web Services, Machine Learning, SQL and Databases, and demonstrable ability to communicate complex technical concepts to nontechnical individuals.
- Demonstrable history solving problems and a solid understanding of how to evaluate and present the quantifiable business impact of your past work
- Excellent written and verbal communication skills
- Detail oriented with experience in documenting and explaining sources of understanding
- Self-motivated and eager to learn and show what you’ve learned
- Ability to thrive in a cross functional setting and communicate effectively with different teams in their own language and terms
- Ability to handle multiple competing priorities and triage effectively
- Payments background is a plus
- Customer-facing presentation and/or documentation experience is a plus
- Experience engaging with non-US clients is a plus
- Familiarity with concepts in privacy, e.g. GDPR, 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 117,600 to 166,150 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

$141875 / YEARLY (est.)
min
max
$117600K
$166150K

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 Product Analyst, Loyalty & Offers, Visa

At Visa, we’re on a mission to revolutionize payments and technology, and we’re looking for a talented Product Analyst for our Loyalty & Offers team in Foster City, CA. If you’re passionate about enhancing customer experiences through loyalty solutions and you're eager to dive into data-driven insights, this could be the perfect role for you! As our Product Analyst, your primary focus will be to shape and execute our strategic vision around Loyalty platforms. You'll collaborate with various partner teams, helping to connect strategies and address challenges while navigating the dynamic landscape of AI and Machine Learning. Your efforts will directly contribute to making Visa the world’s leading data-driven payments company. You’ll need to be a great communicator who enjoys problem-solving and can convey complex concepts in a digestible manner. Your day-to-day duties will include understanding our product strategy, analyzing data trends, and engaging with legal and risk partners to ensure compliance with regulations. You don't need a background in payments or technology, but you should be enthusiastic about learning and engaging with new information. If you’re ready to make a real impact in a friendly and innovative environment, we’d love for you to join our team at Visa!

Frequently Asked Questions (FAQs) for Product Analyst, Loyalty & Offers Role at Visa
What are the key responsibilities of a Product Analyst at Visa?

A Product Analyst at Visa plays a crucial role in fostering collaboration among partner teams and executing the strategic vision for Loyalty platforms. Key responsibilities include analyzing data trends, engaging with product development teams, assessing the viability of opportunities, and developing repeatable practices. The position is tailored for individuals who enjoy problem-solving and working cross-functionally within a leading tech environment.

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What qualifications are required for the Product Analyst position at Visa?

To qualify for the Product Analyst role at Visa, applicants should have at least 2 years of work experience accompanied by a Bachelor's Degree or an advanced degree. Preferred qualifications include over 3 years of relevant experience in product management or technical roles within B2C or B2B sectors. Familiarity with programming, SQL, and machine learning concepts is also beneficial.

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What skills are essential for success as a Product Analyst at Visa?

Successful candidates for the Product Analyst position at Visa will need excellent communication skills, both written and verbal, to articulate complex ideas clearly. A detail-oriented mindset, strong analytical abilities, and the capacity to thrive in a cross-functional team are also critical. Familiarity with data analysis and experience engaging with clients are strong assets.

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What is the work environment like for a Product Analyst at Visa?

The work environment for a Product Analyst at Visa is dynamic and collaborative, as the role involves significant interaction with cross-functional teams. This is a hybrid position, with flexibility regarding in-office work, fostering a balance between collaborative projects and independent tasks. Team members can expect an inclusive culture focused on innovation and personal growth.

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How does Visa support career development for Product Analysts?

Visa places a strong emphasis on career development, particularly for Product Analysts. Opportunities for learning and growth are inherent in the role, supported by access to resources, mentorship programs, and a culture that encourages exploration and innovation. Employees are motivated to expand their expertise and contribute meaningfully to the company's success.

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Common Interview Questions for Product Analyst, Loyalty & Offers
Can you explain your understanding of Visa's Loyalty strategy?

When answering this question, it's important to discuss how Visa aims to enhance customer loyalty through personalized offerings and data-driven insights. Highlight any research on Visa’s current initiatives and express your enthusiasm for contributing to such innovative projects.

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What experience do you have in analyzing complex data sets?

Provide examples of past experiences where you successfully analyzed data trends and how those insights led to actionable results. Mention specific tools you’ve used and your approach to presenting your findings clearly to non-technical stakeholders.

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Describe a challenging problem you faced as a Product Analyst and how you resolved it.

Focus on a comprehensive story that illustrates your problem-solving skills. Begin with the challenge, explain your analytical process, and share the resolution you implemented. Make sure to emphasize the impact of your solution on the project or team.

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How do you handle multiple competing priorities in a fast-paced environment?

Discuss your organizational strategies, such as using project management tools or prioritization techniques. Provide examples of times when you balanced competing tasks successfully without compromising quality.

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What is your approach to communicating complex technical concepts to non-technical team members?

Describe your method for simplification, which might include using analogies and visual aids. Share an instance where you effectively communicated a tough concept, leading to a successful collaboration.

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Can you give an example of how you have worked cross-functionally?

Talk about a project where collaboration across different teams was critical. Highlight your communication strategies and the results achieved, emphasizing the importance of diverse perspectives in problem-solving.

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Share your experience with product management tools or methodologies.

Discuss specific product management tools you’ve worked with, like JIRA or Trello, and any methodologies you've successfully employed, such as Agile or Scrum. Highlight your favorite aspects of these tools/methodologies and their benefits to team effectiveness.

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What are your thoughts on the role of AI in the loyalty space?

Express your excitement about how AI can revolutionize the loyalty sector through personalization and predictive analytics. Discuss any trends or examples of companies leveraging AI in loyalty programs that excite you.

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How do you evaluate the success of a product or feature?

Guide your answer towards key performance indicators (KPIs) that you believe matter for the product or feature. Mention how you would track and analyze feedback to ensure continuous improvement and success of the product.

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What techniques do you use for documenting processes and findings?

Share your approaches to documentation, emphasizing clarity and accessibility for team members. Discuss the tools you prefer for documentation and your method for ensuring that information is up-to-date and useful.

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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 9, 2025

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