Staff Analyst, Data Analytics Platform Management

  • San Francisco, CA, USA
  • Full-time

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

The Data Analytics Platform Group’s goal is to provide a stable, feature-rich data analytics platform enabling Visa internal data consumers to make data-driven business decisions and gain actional insights by accessing Visa data easily and timely. The staff product manager will be responsible for working cross-functionally among the global and regional product teams, global and regional data scientists’ groups, BI developers, technology development, and others to understand business needs. S/he will write user stories and take on the product owner role for a team (or teams) that will establish data processes, data solutions, and automations.

The perfect candidate can apply a breadth of knowledge, customer centric approach with deep technical skills, and strategic thinking to develop and provide clear vision for analytical capabilities. You will be responsible for enabling stakeholders to use data for faster decision-making, high quality, rich, and easy to use analytical environments, and therefore enabling Visa with the ability to leverage its data asset in an effective and timely manner.

Essential Functions:

  • Collaborate cross-functionally with Product, Data scientists, Client services, BI Solutions, Marketing, Finance, Risk, Legal, Technology, and others
  • Deliver small to medium data projects either individually or as part of a project team under general guidance.
  • Extract and manipulate large datasets using standard tools such as Hadoop (Hive), Spark, Python, Presto, SQL etc.
  • Utilize Visa's data analytics capabilities, technology, and industry expertise to develop, standardized and implement data sets.
  • Perform the scrum product owner role, including creating/refining stories, prioritizing features, and managing the product backlog, and participating in sprint planning
  • Develop product documentation describing features from a user perspective, coordinate with training teams to develop user training
  • Collaborate with user engagement functional group to develop and execute “user communication strategy.”

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.


Basic Qualifications
• 4+ years of work experience with a bachelor’s degree or 2+ years of work experience with a Master's or Advanced Degree.
• Advanced knowledge of SQL with experience with HQL, Presto, etc.
• Experience in Python, Spark, and exposure to scheduling tools like Air Flow is preferrable.
• Experience working in an Agile or fast-paced and dynamic environment.
• Proven problem-solving capabilities and ability to quickly propose feasible solutions and optimally communicate strategy and risk mitigation approaches to leadership.
• Contribute directly to development of analytic environments in an agile environment
• Collaborate with Technology, and Business partner teams to identify, prioritize, and develop key features to meet business needs.
• Utilize Visa's data analytics capabilities, technology, and industry expertise to develop, standardized and implement solutions.
• Participate in business requirements gathering, effort sizing, and architecture planning

Preferred Qualifications
• Strong experience in Big Data/Hadoop Environment building large scale data engineering pipelines, data-based decision-making, and quantitative analysis
• Knowledge of Snowflake implementing best practices with data warehouse and ETL (Extract Transform and Load) concepts
• Strong experience in writing and optimizing efficient SQL queries along with Python, Hive, handling Large Data Sets in Big-Data Environments
• Experience with sophisticated, high volume, and multifaceted data
• Experience with visualization software (e.g., Tableau/MicroStrategy) is a plus.
• Visa experience or knowledge of the payments industry is a plus, but not mandatory.

Additional Information

Visa has adopted a COVID-19 vaccination policy to safeguard the health and well-being of our employees and visitors. As a condition of employment, all employees based in the U.S. are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.

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.

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