Help improve Visa’s decision-making by making data more accessible and relevant to key partners
• Develop deep partnerships with engineering, finance, and product teams to deliver on major cross-functional solution development
• Work with a team of talented data and analytics engineers with the ability to not only keep up with, but also pioneer, in this space.
• Create extract, transform, load (ETL) processes for easy ingestion and use
• Find opportunities to create, automate and scale repeatable financial and statistical analysis
• Provide technical leadership in a team that generates business insights based on big data, identify impactful recommendations, and communicate the findings to clients
• Brainstorm innovative ways to use our unique data to answer business problems
• Collaborate with and influence leadership so that your teams work directly impacts company strategy and direction.
• Communicate effectively to all levels of the organization, including executives.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
Basic Qualifications
•8 years of work experience with a Bachelor’s Degree or at least 2 years of work
experience with an Advanced degree (e.g. Master’s, MBA, JD, MD) or 0 years of
work experience with a PhD degree
Preferred Qualifications
•6-8 years of work experience with a Bachelor’s Degree or 4-6 years of work
experience with an Advanced Degree (e.g. Master’s, MBA, JD, MD) or 3 years of
experience with a PhD
•4+ years’ experience in data-based decision-making or quantitative analysis
•Master’s degree in Statistics, Operations Research, Applied Mathematics,
Economics, Data Science, Business Analytics, Computer Science, or a related
technical field
•Exposure to Financial Services/ Payments data analytics and ETL
development.
•Experience in implementing ETL pipelines in Spark, Python, HIVE or SAS that
process transaction and account level data and standardization of data
pipelines.
•Advanced experience in writing and optimizing efficient SQL queries with
Python, Spark, Hive, Scala handling Large Data Sets in Big-Data Environments.
•Experience with Unix/Shell and exposure to Scheduling tools like Oozie and
Airflow.
•Experience building end-to-end automated pipelines for AI/ML models
including model training, model validation, model refit, model recalibration,
model monitoring, model servicing, etc.
•Experience with data visualization using Tableau, Power BI or similar tools
•Strong written, verbal, and interpersonal skills needed to effectively
communicate technical insights and recommendations with business
customers and leadership team.
•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.
•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.
•Previous experience with product valuations, financial engineering, customer
lifetime values or net present value methodologies