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Product Analyst, Identity Solutions - job 8 of 20

Visa and its subsidiaries maintain Identity, Authorization, and Fraud data across multiple systems developed and acquired over time. These comprehensive datasets, when effectively analyzed using Machine Learning/Artificial Intelligence, will yield network-agnostic tools to enhance authorization rates for our merchants and partners within the ecosystem. The Identity Graph consolidates these internal datasets along with relevant external data to construct a holistic 360-degree view of all individuals interacting with the ecosystem, thus enabling various use cases in identity-enabled fraud detection. 
In this role, you will be responsible for leading the data insights and discovery for Identity Graph & Unified Directory. You will work closely with product managers for Identity Graph and Unified Directory, understanding the key data needs to help them define the product strategy and roadmap. These platforms you will work closely touches nearly every Visa cardholder and client, supporting many other core services internally. This role is crucial in ensuring there is data driven insights baked in the product roadmap. This position reports to Visa’s Senior Director, Identity Solutions.
The ideal candidate will operate with minimal guidance in a fast-paced and ambiguous work environment, translating high-level directives into detailed deliverables independently. We seek a highly motivated individual capable of taking ownership and delivering results without constant supervision. They must demonstrate excellent interpersonal skills and executive presence, effectively communicating the vision and product to both internal stakeholders and external clients. We seek a highly skilled individual – someone who is technically proficient, can run queries to do data analysis and drive product strategy, is an innovative problem solver, and can work collaboratively with partners.

Responsibilities:

  • Work closely with the unified directory team to understand their product needs and analyze the data in Identity Graph to provide insights on the product roadmap. 
  • Lead the long-term data roadmap for Identity Graph and explore internal and external partnerships to get more sources of data.
  • Define key success metrics for POCs with vendors on partnership with Identity Graph.
  • Summarize data insights that resonates with diverse audiences who may or may not be deep into the details.
  • Work with data governance, legal & privacy teams to understand the contractual data rights for new data sources in each market for the use cases.
  • Work with stakeholders across various geographical regions and Visa product teams to understand their specific needs from the product and provide articulate data insights
  • Define requirements for data science teams to establish assurance levels, data cleansing, standardization rules, and identity resolution algorithms.
  • Work with fellow product analysts based out of India to help connect the dots on various ongoing initiatives. 
     

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

Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

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, Identity Solutions, Visa

Join Visa as a Product Analyst in Identity Solutions, located in beautiful Ashburn! In this pivotal role, you'll dive into the world of data insights and discovery, focusing on the Identity Graph and Unified Directory. If you have a passion for leveraging Machine Learning and Artificial Intelligence to analyze vast datasets, you’re in for an exciting ride. You'll be collaborating closely with product managers to identify key data needs, all while driving product strategy that impacts nearly every Visa cardholder and client. Your insights will directly influence the roadmap of tools designed to enhance merchant and partner authorization rates. We’re looking for someone who thrives in a fast-paced and dynamic environment, takes ownership of projects, and can bring clear communication to both stakeholders and clients alike. As you unpack complex data and summarize it for a diverse audience, your role will ensure that our products are moldable and responsive to market needs. With minimal supervision required, this position also involves partnering with cross-regional teams and ensuring data governance, legal, and privacy considerations are met. If you're technically proficient and ready to tackle innovative challenges in fraud detection, this is the place for you. We're excited to see how you can make a meaningful impact here at Visa!

Frequently Asked Questions (FAQs) for Product Analyst, Identity Solutions Role at Visa
What responsibilities does a Product Analyst at Visa focus on?

As a Product Analyst at Visa, you will primarily focus on driving data insights for the Identity Graph and Unified Directory. This includes understanding product needs, defining key success metrics, and collaborating with various teams to provide articulate data insights that resonate across diverse audiences and geographical regions.

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What qualifications are ideal for a Product Analyst role at Visa?

An ideal Product Analyst at Visa should have strong analytical skills, experience working with datasets, and a background in data analysis with a proficiency in Machine Learning and AI. Furthermore, excellent interpersonal skills and an ability to work independently in a fast-paced environment are crucial for success in this role.

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How does a Product Analyst at Visa contribute to data-driven product strategies?

In this role, the Product Analyst contributes significantly by leading the long-term data roadmap, exploring internal and external data sources, and summarizing data insights that help inform product strategies. These contributions ensure that the product roadmap is grounded in data-driven decisions.

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What skills are necessary for a successful Product Analyst at Visa?

A successful Product Analyst at Visa should possess technical competencies for data analysis, strong problem-solving abilities, and excellent communication skills. The ability to engage with both internal teams and external clients effectively is vital, as is a proactive approach to translating high-level objectives into actionable deliverables.

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What makes the Product Analyst position at Visa unique?

The uniqueness of the Product Analyst position at Visa lies in the combination of deep data analytics with a robust product strategy focus. This role directly influences decision-making processes for products that impact a vast network of consumers and businesses, blending technical skills with strategic thinking.

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Common Interview Questions for Product Analyst, Identity Solutions
What experience do you have with data analysis as a Product Analyst?

When answering this, highlight specific projects where you utilized data analysis tools and techniques to drive product insights. Mention methodologies you employed and how your analysis contributed to decision-making.

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How do you prioritize product requirements from different stakeholders?

Discuss your approach to engaging with stakeholders to understand their needs, utilizing data to back your decisions, and communicating transparently about trade-offs and priorities.

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Can you explain a situation where you turned data insights into actionable product strategies?

Provide a detailed example of a project where your insights directly influenced roadmaps or product features. Emphasize the data used, the analysis performed, and the ultimate outcome.

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How do you ensure that your data governance practices are compliant with legal regulations?

Explain your process for working closely with governance and legal teams, and how you stay informed about regulatory requirements. It's important to emphasize proactive communication and data privacy.

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Describe your experience with Machine Learning and AI in product analysis.

Talk about specific instances where you've applied Machine Learning and AI principles in your work, including the tools you used and the results achieved. Focus on demonstrating an understanding of these technologies in a product context.

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How do you handle conflicting feedback from stakeholders?

Illustrate your approach to conflict resolution through clear communication, active listening, and seeking common ground based on data insights while maintaining focus on the product's overall goals.

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What techniques do you use to communicate complex data insights to non-technical stakeholders?

Discuss your ability to simplify complex data points by using visual aids, storytelling techniques, or relevant analogies to make insights relatable and understandable for varied audiences.

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How do you stay updated on the latest trends in data analysis and product management?

Share how you engage with the industry through continuous learning, whether through webinars, professional networks, or reading relevant publications, stressing the importance of staying informed to remain effective.

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What metrics do you believe are essential for measuring product success?

Identify specific metrics relevant to product performance, customer engagement, and market impact. Tailor your response to align with Visa's business model and data-driven approach.

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How do you foster collaboration with remote teams?

Provide insights into your communication strategies and tools you utilize to collaborate effectively with remote teams. Highlight the importance of building relationships and maintaining team alignment despite distance.

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Full-time, hybrid
DATE POSTED
April 3, 2025

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