Senior Manager, Sales Analytics Data Engineer at Visa

Foster City, California, United States

Visa Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Payments, Financial Technology, TechnologyIndustries

Requirements

  • 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD
  • Preferred: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
  • Preferred: Visa experience or knowledge of payments industry
  • Preferred: Experience with visualization software (e.g. Tableau/PowerBI)
  • Preferred: Experience with AWS, Azure, Snowflake, or Databricks
  • Preferred: Advanced knowledge of SQL with experience with HQL, Presto, etc
  • Preferred: Experience with Python

Responsibilities

  • Lead data initiatives including data engineering and report development for sales professionals and leadership
  • Deliver medium to large data engineering projects either individually or as part of a project team
  • Extract and manipulate large datasets using standard tools such as Hadoop (Hive), Spark, Python (pandas, NumPy), Presto, SQL etc
  • Utilize Visa's data analytics capabilities, technology, and industry expertise to develop, standardize and implement BI data sets
  • Ensure processes are automated and scalable data flows for business owners
  • Develop solutions within an agile development process leveraging Visa’s single source of truth (SSoT) framework
  • Build and maintain high performing ETL processes in Hadoop including data quality and testing including operational production support
  • Participate in business requirements gathering, effort sizing, and architecture planning
  • Communicate complex concepts and the results of analyses in a clear and effective manner
  • Provide coaching and project mentorship to lower-level professionals

Skills

Data Engineering
Business Intelligence
Data Science
Data Marts
Dashboard Development
SQL
ETL
Analytics
Report Development
Scalable Data Solutions

Visa

Global digital payment network provider

About Visa

Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.

San Francisco, CaliforniaHeadquarters
1958Year Founded
$55.8MTotal Funding
ANGEL_INDIVIDUALCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees

Benefits

Health Insurance.
Life Insurance.
Dental Insurance.
Disability Insurance.
Accidental Death & Dismemberment Insurance.

Risks

CBDCs could reduce reliance on Visa's payment network.
'Buy Now, Pay Later' services may decrease traditional credit card transactions.
Fintech startups offering zero-fee transactions could pressure Visa's revenue model.

Differentiation

Visa operates a global digital payment network connecting millions daily.
The company focuses on financial inclusivity and sustainability in its operations.
Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).

Upsides

Visa's partnership with fintechs enhances cross-border payment solutions.
Adoption of blockchain technology could revolutionize digital payments.
AI-driven fraud detection systems are reducing fraudulent activities.

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