Okay, I've searched for Data & Insights Consultant roles in Miami, FL, requiring 5+ years of experience, with skills in big data analytics, SQL, and Tableau, for full-time positions. I have found 127 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data & Insights Consultant role at Visa is fundamentally centered on transforming vast datasets into strategic business value for Visa’s clients, which include issuers, acquirers, and merchants. The role requires a nuanced blend of advanced data analytics, business acumen, and storytelling through compelling visualizations and presentations. The candidate will need to balance routine reporting with high-impact projects that identify cardholder behaviors and program optimization opportunities, which speaks to the dynamic and multifaceted nature of the position. Success in this role means not only delivering accurate insights but doing so in a way that drives actionable improvements in portfolio performance and profitability, while enhancing the cardholder experience. The emphasis on big data tools like Hadoop, Hive, Spark, and proficiency in SQL and Tableau signals a technical environment that depends heavily on manipulating diverse, complex datasets efficiently. Beyond technical prowess, the role demands a proactive, consultative mindset, engaging both internal teams and external clients with varying levels of analytical literacy—highlighting the importance of communication and relationship-building skills. Candidates must be comfortable challenging the status quo and innovating analytical approaches, implying a culture that values creativity and continual improvement. The autonomous nature of the role involves frequent prioritization and decision-making about which insights warrant pursuit and how best to present findings, while managing multiple stakeholders’ expectations. Over the first 6 to 12 months, a candidate will be expected to quickly establish trusted client partnerships, deliver insightful and actionable analyses, and demonstrate the ability to manage both operational and strategic analytics projects simultaneously.

Company Analysis:

Visa operates as a global powerhouse in the digital payment industry, holding a leadership position with an extensive network that supports billions of transactions annually. This scale and influence frame the context in which the Data & Insights Consultant operates—working at the intersection of innovation and commerce on a truly global stage. Visa’s mission of uplifting people everywhere by enabling the best ways to pay underscores a company culture driven by impact, reliability, and cutting-edge technology. The environment is likely fast-paced yet purpose-driven, valuing innovation and precision to maintain and advance Visa’s market dominance and client satisfaction. For someone in this role, this means navigating a complex ecosystem of internal teams and diverse external partners, requiring adaptive communication and a strategic mindset tailored to the payments industry’s unique regulatory and competitive landscape. Organizationally, this role, situated within the North America Insight Delivery team under the Global Business Optimization umbrella, serves as both an individual contributor and a cross-functional collaborator, with moderate visibility to leadership given its client-facing and strategic importance. Strategically, the position is designed to directly support Visa’s business goals by enhancing client program profitability and engagement through insightful data-driven recommendations—making it a critical growth- and optimization-focused hire that supports Visa’s larger ambition to innovate payments at scale while improving customer experience globally. Candidates should be prepared for a hybrid work model and a role requiring occasional travel, reflecting a blend of collaboration and independence.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to analyze complex data from multiple sources to solve a business problem. How did you approach it, and what was the outcome?
• Behavioral: Describe an experience where you had to explain technical insights to a non-technical audience. How did you ensure your message was clear and actionable?
• Behavioral: Share an example of when you challenged an existing analytical method or business process. What was the situation, and what impact did your innovation have?
• Behavioral: Can you tell me about a time when you had to balance multiple projects or priorities? How did you manage your time and ensure successful delivery?
• Technical: How would you approach building a data pipeline that integrates disparate data sources for client performance analysis in a Big Data environment?
• Technical: What advanced Tableau features do you use most frequently to create compelling, interactive dashboards, and how have these features impacted your clients' decision-making?
• Technical: Explain how you use SQL or tools like Hadoop, Hive, or Spark to extract and prepare data for complex analyses. Can you share a scenario where these skills were critical?
• Technical: What metrics or KPIs do you consider essential when evaluating the profitability and performance of a payment program? How have you used these in your previous work?
• Situational: Imagine a client is underperforming compared to industry benchmarks, but the data is inconsistent and incomplete. How would you handle this situation to still provide actionable recommendations?
• Situational: Suppose you discover a significant opportunity to improve a client’s program approval rates, but your recommendation challenges the client’s current strategy. How would you present and advocate for your findings?
• Situational: If your team is resistant to adopting a new analytical approach that you believe could improve outcomes, how would you persuade them to consider your ideas?
• Company Fit: Why are you interested in working for Visa, particularly in a role that blends analytics with client consultation within the payments industry?
• Company Fit: How do your personal values and career aspirations align with Visa's mission to uplift everyone everywhere through innovative payments?
• Company Fit: Given Visa’s scale and technology-driven culture, how do you see yourself contributing to and thriving in an environment that values innovation and precise execution?
• Questions to Ask Interviewer: How does the North America Insight Delivery team measure success in this role, and what are the immediate priorities for someone stepping into this position?
• Questions to Ask Interviewer: Can you describe how this role collaborates with other teams within Visa, such as product, marketing, or risk management?
• Questions to Ask Interviewer: What opportunities for professional development or growth does Visa offer for analytics consultants looking to deepen their expertise or expand their influence?