Design and build AI-enabled executive dashboards and scalable data models for Visa's Finance platform using Power BI, Tableau, SQL, and Python, while driving AI/LLM adoption across Finance BI workflows in a hybrid role based in Bengaluru.
Compensation
Not disclosed
Location
IN - Bengaluru, India
Work setup
Hybrid
Seniority
Senior
Employment
Not specified
Experience
5+ years
Category
Business analysis
Posted
Skills
agentic-ai
ai
analytics
anomaly-detection
automation
azure
bigquery
business-intelligence
cloud
data-analytics
data-engineering
data-governance
data-lineage
data-modeling
data-quality
data-warehousing
databricks
financial-reporting
gcp
generative-ai
llm
machine-learning
microsoft-copilot
oracle
power-automate
powerbi
python
requirements-gathering
sql
tableau
Must have
7+ years of work experience with an advanced degree (Master's, MBA, JD, or MD)
5+ years of experience in data analytics, business intelligence, or financial reporting
Proven experience building enterprise dashboards using Power BI with DAX, semantic modeling, and governance best practices
Working knowledge of Finance domains: P&L, balance sheet, cost center reporting, FP&A processes
Strong proficiency in SQL and Python for complex data transformations, querying, validation, and automation
Solid understanding of dimensional data modeling (star schema, fact tables, dimension tables)
Demonstrated experience with data governance, certified metrics, reporting standards, and aligned hierarchies
Experience co-developing or implementing enterprise data platforms with IT and governance teams
Experience designing and deploying Power Automate or similar workflow automation solutions
Demonstrated ability to adopt and apply AI tools (Copilot, Claude, LLM-based tools) to analytics workflows
Advanced Excel skills and Microsoft Office suite proficiency
Proven ability to manage multiple priorities in a matrixed, fast-paced organization
Strong communication skills for presenting to technical teams and CFO-level Finance leaders
Nice to have
Experience in Finance, banking, payments, or large enterprise organizations
Hands-on experience building full-stack dashboards
Familiarity with Oracle EPM, Hyperion, or similar financial planning platforms
Familiarity with cloud data platforms (Databricks, BigQuery, Microsoft Azure)
Proficiency in AI/ML applications, automation, and data transformation
Hands-on experience building AI-powered solutions (LLM integration, AI agents, Copilot extensibility, GenAI for Finance)
Full description
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
1.Reporting and Dashboards Development
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Design and build AI-enabled certified executive-level and self-service dashboards for the Finance platform, with prompt-based insights generation capabilities
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Own the full dashboard/report development lifecycle, including requirements gathering, data modeling, design, development, UAT, deployment, and maintenance.
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Translate complex Finance processes into analytical models and reporting frameworks that scale across the organization.
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Understand data structures and cardinality and design effective data models for reporting in Tableau (using joins, relationships, and blending) and Power BI.
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2.Data Transformation and Modeling
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Design and maintain scalable semantic data models and certified metric frameworks on FDP in collaboration with Data Engineering teams.
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Write complex, highly optimized SQL queries to extract, transform, and manipulate data from enterprise data warehouse environments.
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Partner with Data Strategy & Governance (DSG) and Corporate IT on cross-functional data model design reviews, UAT, and deployment planning.
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Develop and execute test plans and UAT protocols to ensure solutions meet business requirements and data quality standards before release.
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3.AI Solutions Development and Adoption
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Design, build, and deploy AI-powered analytics solutions using LLMs, AI agents, Microsoft Copilot, Claude, and similar tools to enhance Finance decision support and insight generation.
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Identify and implement AI-driven automation opportunities across Finance reporting workflows, replacing manual and offline processes with intelligent, automated alternatives.
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Champion and drive the adoption of AI tools (Microsoft Copilot, Claude, AI agents, and emerging platforms) within the Finance BI team to improve day-to-day efficiency across research, documentation, code optimization, data analysis, anomaly detection, and narrative generation.
Sr Systems Analyst - Reporting & Analytics at Visa (IN - Bengaluru, India) — aijobsearch
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Build automated, AI-enhanced workflows using Power Automate integrated with AI capabilities to eliminate repetitive manual tasks.
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Prototype and evaluate AI use cases for Finance analytics, including natural language data querying, AI-assisted report generation, predictive insights, and intelligent alerting.
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Stay current on emerging AI capabilities and proactively identify new opportunities to drive efficiency and innovation across the Finance function.
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4.Data Quality
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Conduct data mapping, validation, and reconciliation across large, complex datasets, proactively identifying and resolving discrepancies across source systems.
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Document data lineage for all reports to ensure auditability and stakeholder confidence in reported results.
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Critically evaluate existing reporting architecture for gaps, inefficiencies, and misaligned logic, and propose and implement targeted improvements.
5.Stakeholder Collaboration
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Serve as the primary Finance BI liaison to Data Strategy & Governance (DSG) and Corporate IT for the design, development, and rollout of the Finance semantic layer, translating Finance reporting requirements into platform capabilities while ensuring the semantic layer meets Finance quality and governance standards.
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Partner with Finance stakeholders to gather reporting requirements, validate solutions, and drive adoption of new BI and AI capabilities.
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Present findings, reporting solutions, and AI-driven recommendations clearly to both technical teams and senior Finance leaders.
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Collaborate across teams to accelerate decision-making on reporting standards, certified definitions, and ownership accountability.
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications
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7+ years of work experience with an advanced degree (Master's, MBA, JD, or MD).
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5+ years of experience in data analytics, business intelligence, or financial reporting, with demonstrated progression in scope and responsibility.
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Proven experience building and maintaining enterprise dashboards using Power BI, with strong expertise in DAX, semantic modeling, and governance best practices.
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Understanding on full-stack dashboard development
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Solid understanding of Finance management reporting cycles, including Month-End Close, QBR, Budget, Outlook, and CFO Close reporting.
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Working knowledge of Finance domains, including P&L, balance sheet, cost center reporting, certified P&L reporting, and FP&A processes.
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Strong proficiency in SQL and Python for complex data transformations, querying, validation and automation
-
Solid understanding of dimensional data modeling (star schema, fact tables, and dimension tables) for scalable BI solutions.
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Demonstrated experience with data governance, including defining certified metrics, enforcing reporting standards, and maintaining aligned hierarchies.
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Experience co-developing or implementing enterprise data platforms in collaboration with IT and governance teams.
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Experience designing and deploying Power Automate or similar workflow automation solutions.
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Demonstrated ability to adopt and apply AI tools (Microsoft Copilot, Claude, or similar LLM-based tools) to accelerate analytical and reporting workflows.
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Advanced Excel skills and proficiency across the Microsoft Office suite.
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Proven ability to manage multiple priorities in a matrixed organization and thrive in fast-paced, greenfield environments.
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Strong communication skills, with the ability to present complex data concepts clearly to both technical teams and CFO-level Finance leaders.
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Preferred Qualifications
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Experience working within Finance functions, banking, payments, or large enterprise organizations.
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Hands-on experience building full-stack dashboards
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Familiarity with Oracle EPM, Hyperion, or similar financial planning and consolidation platforms. An understanding of EPM data structures is beneficial for Finance reporting.
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Familiarity with cloud data platforms such as Databricks, Google Cloud Platform (BigQuery), or Microsoft Azure.
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Proficiency in AI/ML applications, automation, and data transformation.
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Hands-on experience building AI-powered solutions, including LLM integration, AI agents, Copilot extensibility, or GenAI applications for Finance analytics.
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.