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

Position Overview

We are seeking a highly skilled Data Insights Engineer to join our Visa University (VU) team. VU is a global learning platform that provides immersive, practical training programs focused on the payments industry. You will play a critical role in generating actionable business insights, developing and optimizing data pipelines, and leveraging advanced analytics to solve complex business problems. This is a hands-on position combining analytical rigor with engineering excellence, suitable for candidates excited about both data science and data engineering

Key Responsibilities

Data Science and Analytics

Generate business insights from large and complex datasets, identify impactful recommendations, and communicate findings to clients and stakeholders
Brainstorm innovative ways to leverage Visa’s unique data assets to address key business challenges
Extract, aggregate, and analyze data using SQL, Spark, Hive, Airflow, or similar data pipeline tools
Build custom data models and algorithms- apply predictive analytics to optimize business outcomes
Develop compelling data visualizations to communicate sophisticated analyses to broad audiences using Power BI, Python, R, or similar tools
Assess and implement new data sources and data gathering techniques to improve analytical efficiency and accuracy
Data Engineering

Oversee the data lifecycle - acquisition, ingestion, transformation, storage, and governance for both streaming and batch data pipelines
Design, develop, and implement scalable, secure, and high-performance data pipelines, including reusable modules, automation tools, and frameworks
Ensure data security, privacy, governance, and compliance with all relevant regulations
Champion the adoption of GenAI and Agentic AI technologies into data pipeline workflows
Collaborate with business partners and cross-functional teams to deliver comprehensive, enterprise-level data solutions

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

Qualifications

Basic Qualifications
-5 or more years of relevant work experience with a bachelor's degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD

Preferred Qualifications
-6 or more years of work experience with a bachelor's degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
- Bachelor’s degree in business Analytics, Statistics, Computer Science, Economics, Engineering, or a related field
- Minimum 3 years (Analyst/Scientist) or 3 years (Engineer) of relevant experience in data analytics, data science, or data engineering roles
- Proven experience with PowerBI, Tableau, SQL
- Proficiency in Python, R, SAS, or Stata for statistical analysis and modeling
- Experience with data visualization tools (Power BI, Python, R) and creating business-oriented presentations in PowerPoint
- Understanding of predictive and descriptive analytics, including regression, classification, clustering, and machine learning toolkits (Jupyter Notebook, Python, Hadoop)
- Experience optimizing code for computing efficiency and meaningful insight extraction
- The ideal candidate is a highly analytical individual with previous strategy, consulting and or financial experience
- Creative thinker with a results orientation who approaches any challenge with thoughtfulness, drive, and appropriate urgency
- Strong communication skills and ability to influence stakeholders and drive towards desired outcomes
- Aptitude to grasp new and complex concepts quickly
- Effective written and verbal communication skills (highly proficient with PowerPoint, Word, Excel, and Outlook)
- Excellent with communication, storytelling and presentation skills
- Exceptional analytical skills, with the ability to process and summarize large amounts of data into key strategic insights
- Demonstrated leadership in guiding teams, mentoring junior engineers, and establishing engineering best practices
- Experience developing and integrating GenAI or Agentic AI technologies into data workflows

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

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.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 124,600.00 to 180,650.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.