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Analyst, Global Network & Optimization Solutions

Visa

London

Hybrid

GBP 50,000 - 70,000

Full time

3 days ago
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Job summary

A leading payments technology firm is looking for a data analyst to enhance customer engagement through data insights and strategic recommendations. The ideal candidate will have over 3 years of experience in consulting and analytics within the payments industry. This hybrid position requires excellent data visualization skills and a strong understanding of payment processes.

Qualifications

  • Strong analytical skills with a focus on customer engagement.
  • Proficient in data analytics tools relevant to payments.
  • Ability to communicate complex data clearly.

Responsibilities

  • Conduct data analysis for customer engagements.
  • Support sellers during deal cycles with custom data analysis.
  • Collaborate on strategies for optimization across teams.
  • Provide insights for increasing authorization success.

Skills

Data analysis
Client-facing experience
Data visualization
Communication skills
Payments industry knowledge

Education

3+ years in consulting and analytics

Tools

Tableau
PowerBI
Hadoop

Job description

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

  1. Conduct data analysis for customer engagements and strategic initiatives across Acceptance Solutions (pull data, interpret insights, make recommendations).
  2. Serve as first line support to our sellers and customers during deal cycles (answer questions, perform custom data analysis).
  3. Collaborate with the Director of Optimization to deliver strategies for scale across the organization (dashboards, automation, etc.).
  4. Identify commonalities in demand and recommend areas to increase departmental efficiency.
  5. Provide insights into strategies by which our customers can increase their authorization success rates.
  6. Proactively identify target accounts for our services using Visa data and learnings from prior engagements.
  7. Maintain and build relationships with regional peers and other teams across Visa to exchange ideas, learn, and leverage best practices.
  8. Continuously seek to increase your knowledge of the payments industry, optimization strategies, and Visa’s data landscape to better support our team and customers.
  9. Develop self-service data & tools for the wider sales organization, sometimes in collaboration with cross-functional teams.

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

Qualifications

  1. 3+ years of progressive consulting and analytics experience and client-facing roles in the payments industry.
  2. Working experience with data analytics tools such as Tableau, PowerBI, Hadoop.
  3. Payments expertise with thorough understanding of digital payments lifecycle and Issuing/Acquiring/payment network processing.
  4. Strategic thinking, curiosity, and strong initiative to find answers to challenging questions.
  5. Excellent organizational skills and ability to focus, prioritize, and maintain order while engaged across multiple projects.
  6. Ability to translate complex data into a simple, coherent message.
  7. Strong use of visuals and storytelling with data.

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 qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable law.

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