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Open nowPosted yesterday

Decision Analytics Manager

Visa862 open roles

Where
IN - Bengaluru, India
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Your applicationOpen nowDecision Analytics ManagerVisa · IN - Bengaluru, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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  4. CV RocketApplied on Visa's own form.

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Visa postings stay open a median of 30 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted yesterday

Visa median: 30 days open

The posting

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Job Description

Job Summary

The Global Business Intelligence & Analytics (Global BI&A) team has a simple mission: we turn massive amounts of data into actionable insights that ensure seamless, secure commerce experiences across Visa’s physical and digital ecosystem, as well as decision support to Visa internal leadership. We provide data-driven insights targeted at improving payment success for Visa and Visa's clients, including authorization optimization, improve adoption of secure technology such as authentication/3DS/token life cycle management, and reducing fraud and dispute rates.

Reporting to the Head of Global BI&A, the role will focus on developing global analytics insights and dashboards covering the entire payment lifecycle for CS & Risk client engagement, as well as internal decision support. You will have regular exposure to the CS & Risk leadership, and your actionable data insights will inform decision, strategy and improve client payment performance.

This is a hands-on analytics role, requiring strong SQL and Data Visualization skills (eg. Tableau, PowerBI). Experience with AI-assisted analytics is strongly preferred, such as Vibe coding with Claude Code, Copilot.

Key Responsibilities

The Manager, Global BI&A will drive end-to-end adhoc analysis and recurring reporting initiatives that deliver actionable, data-driven insights & recommendations to both internal and external Visa stakeholders (ie. issuers, acquirers, processors, merchants, Fintech etc). In additional to hands-on analytics, this role requires business acumen, strategic thinking, cross-functional collaboration and communication skills.

  • Create scaled global data solutions (dashboards & in-depth analysis) to enable CS & Risk Managers to have effective client engagements (ie. issuers, acquirers, merchants/Fintech, processors, etc) and improve their payment success holistically (including approval, fraud, dispute, etc.) with actionable recommendations.
  • Compare client performance against industry best practices, inject new perspectives with a shrewd eye toward identifying performance and/or profitability improvement opportunities. Identify macro business and market trends that guide areas of future analysis
  • Create internal dashboards to track KPI for top global initiative, identifying clients with optimization and product adoption opportunities, and increase Visa product utilization
  • Be an expert at getting to the root of a problem, defining business objectives and formalizing data requirements. Craft meaningful presentations and insights from complex data with content that clearly presents opportunities in an accurate, understandable and engaging manner to executives
  • Cultivate cross-functional partnerships. Serve as a strategic advisor to organizational leadership and peers
  • Support the development and maintenance of consistency, standards, and quality control, ensuring best practices and efficiency.

Qualifications

Basic Qualifications

  • 5 years of work experience with a bachelor’s degree in quantitative field (eg. Data Science/ Mathematics/Statistics/Computer Science & Engineering or related degree), or 3 years of work experience with an Advanced degree (e.g., Masters in a quantitative field or MBA degree)
  • You’re not just pulling data and building dashboard. You’re synthesizing actionable data insights from multiple data sources, and create a cohesive data narrative & provide recommendations to senior stakeholders.
  • Genuine, hands-on SQL, and visualization (Tableau, Power BI) skills, and experience with AI-assisted tools (e.g., Vibe coding with Claude Code, Microsoft Copilot, or similar)
  • Data Accuracy is a must in earning client trust. Expected to be detail-oriented to ensure accurate reports and data analysis. Have experience building QA framework to proactively monitor your data quality.
  • Demonstrated ability to innovate solutions to solve business problems.
  • Excellent communication and cross-functional collaboration skill

Preferred Qualifications

  • 7 years of work experience with a bachelor’s degree in quantitative field (eg. Data Science/ Mathematics/Statistics/Computer Science & Engineering or related degree), or 5 years of work experience with an Advanced degree (e.g., Masters in a quantitative field or MBA degree)
  • Working experience with automation and BI tool like Airflow, Github
  • Working familiarity with statistics modeling, python
  • Experience in payment, banking, or retail merchant industries.
  • Domain expertise in Fraud Risk Management (prevention, detection, response).

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.

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