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.

To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for data engineers who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems.

This position will be part of VCA (Visa Consulting & Analytics) function in building and maintaining global data assets and engineering solutions. In this role, you will be responsible for helping to develop a global engineering and solutions team focused in standardized development of Consulting Solutions. You will partner closely with Global stake holders in Visa consulting, data Science and data engineering teams. You will get chance to leverage your strategic planning, business analysis and technical knowledge of data engineering, tools and data architecture solutions. In addition to managing our portfolio of data engineering assets and solutions globally, you will play key roles in building relationships with Consulting partners to develop effective market response strategies. You will also be a hands-on expert able to direct & navigate both data engineering and data science teams to build effective data engineering solutions.

Essential Functions

• Exposure working with Global teams & Fortune 500 companies and possess strong experience working directly in client facing roles.
• Execute and manage large scale ETL processes to support development and publishing of reports, Datamart’s and predictive models.
• Strong Data Analytical and Visualization skills along with experience in self-service reporting tools like Tableau or Power BI with KPIs and facilitate Visa Consulting engagements including data exchange.
• Deliver small to medium complexity dashboard projects either individually or as part of a project team.
• Use design prototyping rigor and consultative best practices with our stakeholders
• Develop solutions leveraging agile principles
• Provide operational production support for the dashboards on Tableau Server.
• Should have strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership. 
• Build and maintain high performing ETL processes, including data quality and testing aligned across technology, internal reporting and other functional teams
• Create data dictionaries, setup/monitor data validation alerts and execute periodic jobs like performance dashboards, predictive models scoring for client’s deliverables 
• Define and build technical/data documentation and experience with code version control systems (e.g. git). Ensure data accuracy, integrity and consistency
• Find opportunities to create, automate and scale repeatable financial and statistical analysis for Visa Consulting and Analytics.
• Collaborate with Data Engineering teams in North America and other Global regions to production and maintenance of key data assets.
• Strong written, verbal, and interpersonal skills needed to effectively communicate technical insights and recommendations with business customers and leadership team.

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 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Basic Qualifications:

• 5 or more years of relevant work experience with a Bachelors 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 Bachelors 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
• Minimum of 6+ years of work experience with a Bachelor's Degree or 4+ years of experience with a Master’s or Advanced Degree in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent with analytics expertise in applying statistical solutions to business problems
• Technical expertise in leading business intelligence and data visualization projects
• Working knowledge of Hadoop ecosystem and associated technologies, (For e.g. Apache Spark, MLlib, GraphX, iPython, sci-kit, Pandas etc.)
• Good business acumen to orient data analysis to business needs of clients.
• Ability to translate data and technical concepts into requirements documents, business cases and user stories.
• Good understanding of agile working practices and related program management skills.
• Good communication and presentation skills with ability to interact with different cross-functional team members at varying levels
• Ability to learn new tools and paradigms as data science continues to evolve at Visa and elsewhere.
• Demonstrated intellectual and analytical rigor, team oriented, energetic, collaborative, diplomatic, and flexible style.
• Intellectually curious and continuously striving to learn.

Technical skills:

• A strong BI/data visualization portfolio and hands-on experience
• Expert proficiency with visualization software, preferably Tableau, is required
• Knowledge of interactive data visualization best practices
• Experience leading design discovery meetings with end-users is preferred
• Excellent grasp of the design thinking and the prototyping process
• Have a good understanding of data management systems and processes
within the ecosystem (source systems, data feeds, reference data
management, ETL, Data Warehouses and Marts, data cube design, etc.) and
has experience working with SQL or Tableau Prep. Experience with any script
language (R/Python) is a plus.
• Experience working in an Agile or fast-paced and dynamic environment is a
plus
• Experience working with any prototyping tool
• Visa experience or knowledge of payments industry is a plus, but not
mandatory

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 126,000.00 to 163,800.00 USD, 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.