The Global Data Team With data and AI being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data and AI/Machine Learning on behalf of consumers, businesses, and communities is key to our future. We at Visa have a bold vision to continue to grow and accelerate our data and AI/ML-related businesses and capabilities.
Led by Visa s Chief Data Officer, the Global Data Office coordinates high-impact, complex, company-wide projects related to the enterprise s data and AI business strategy, platforms and products, solutions, as well as our policy and governance. Working closely with Visa s Chief Privacy Officer, the Technology organization, the wider data community, and the full set of Visa s global lines of business, the Global Data Team is evolving Visa s data-related work with momentum and enthusiasm. Driven by its commitment to trusted use of data, Visa is seeking enthusiastic leaders who are change-agents and passionate about the future of data around the world.
About the role
- You will be an individual contributor in BI Engineering team within Visa s Global Data organization, reporting to the Lead, Data Insights Studio.
- You will operate from our Global Shared Services hub in Bengaluru, partnering with internal analytics teams to deliver high-impact BI solutions across products and markets.
- You will turn Visa s rich datasets (billions of cards, hundreds of billions of transactions annually) into actionable insights that drive business value.
Primary responsibilities
- Partner with the BI Engineering Manager and internal analytics stakeholders to turn ambiguous needs into measurable outcomes and data products.
- Visualize data with the right charts and narratives to deliver actionable insights.
- Design, build, and maintain databases and data models for dashboards.
- Test, and optimize data warehouses/lakes, including metadata and repositories for dashboards and reports.
- Build reliable ETL/ELT pipelines to ingest and standardize data from diverse sources.
- Develop BI solutions, semantic models, and KPI measures from raw data.
- Create and maintain interactive dashboards and reports in leading BI tools.
- Lead QA and bug triage, documenting issues and prioritizing fixes by business impact.
- Tune performance across data models, queries, and dashboards for speed and reliability.
- Automate extraction, transformation, testing, and deployment with CI/CD to accelerate releases.
- Enforce data security, compliance, and access controls across BI platforms.
- Administer BI/visualization platforms, monitor health, and act on usage insights.
- Deploy dashboards to production per user requirements and VISA standards.
- Document architectures, processes and technical/data; keep all artifacts current and accessible through version control.
Note: This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Qualifications
- Bachelor s degree in computer science, Engineering, or a related field.
- Proven experience as a BI Engineer / data visualization analyst or similar role for 3-5+ years
- Familiarity with shared services, consulting, financial services is a strong plus.
- Knowledge of data visualization tool ecosystem
Technical skill
-
BI Tool:
Expert in Tableau and Power BI, including enterprise dashboarding, advanced analytics, and embedded delivery. -
Programming & Data Processing:
Strong SQL, PySpark; experience with Hadoop, AWS EMR, NoSQL databases. -
Data Pipelines & Orchestration
: Proficient with Apache Airflow for workflow orchestration, data quality, and performance optimization. -
DevOps for BI
: Skilled in Git/GitHub, CI/CD pipelines, and automated BI asset testing. -
Front-End & Advanced Visualization
: Familiar with React, micro frontends, and MicroStrategy
Strategic and Functional Excellence
- Make insights usable-craft clear, performant dashboards and semantic layers that answer real business questions.
- Guard the gate-enforce access controls, governance, and privacy by default across data and BI tools.
- Automate - standardize and script data pipelines, testing, and deployments to reduce toil and errors
- Ensure accuracy apply automated validation, reconciliation, and monitoring to maintain integrity and consistency across data and reports, enabling trusted, confident decision making
- A professional capacity for strong enthusiasm and accountability
- High attention to detail and quality
- Highly adaptive, comfortable working within a complex and often ambiguous, environment.
- Creative thinker who thrives despite changing circumstances
- Ability to make and keep strategic priorities on-track without distraction
- Outstanding written, verbal, and presentation communications skills appropriate for a wide, global audience. Capable of summarizing complex issues into succinct messaging
- Proactive and effective communicator. Experienced at presenting information at senior levels, facilitating group discussions and debate with the ability to influence across geographic and functional lines (whether virtual or in-person)
- Strong business acumen and understanding of Visa and business models
Stakeholder Management
- Strong interpersonal and leadership skills to influence and build credibility with senior leaders across a federated organization
- Team-oriented, collaborative, diplomatic, and flexible, with proven ability to build strong working relationships with internal and external clients at all levels of management and work on complex issues within cross-functional teams
- Self-starter who can responsibly advance work and is comfortable making sound, well-informed judgement calls for progress, without needless delays
- An individual who is known for building deep and trusted relationships despite sometimes competing priorities
- Open-minded and willing to listen to ideas and opinions from others. Able to look for new solutions when current processes dont work
