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
What we expect of you, day to day:
The Data & Insight Analyst is a key member of the Business and Economics Insights Team (VBEI) supporting in the European region. As a Data Analyst, you will be accountable for the development and delivery of analytics driven insights for Visa’s stakeholders in Europe. In this role, you will work collaboratively with VBEI and other internal functions in promoting insights driven culture, creative and cutting-edge analytic solutions and best practices to drive business performance with a clear commercial ‘value’ and business interest. You will extract and model economics trends from VisaNet data. Most of your day will involve delivering project (coding/working with data) and the rest will be dedicated to discussing data requirements and managing internal meetings.
Principal Responsibilities
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Evangelizes the creative use of data analytics to explore large data sets and summarise results
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Works with VBEI Data Scientists to drive data science business development opportunities and new data products
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Build data dashboards for presenting insights and data products to key stakeholders
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Create and deliver powerful business-centric insights from data through visualization and storyboarding
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Collaborating with the internal partners to fully understand business requirements and desired business outcomes
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Execution proficiency in handling multiple medium data analytics projects along with rest of the stakeholders in the project team
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Defining detailed analytic scope and methodology, and creating analytic/approach plans
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Executing on the analytic plans with appropriate data mining and statistical techniques
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Ensuring project delivery within timelines
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Ensuring all project documentation is up to date and all projects are reviewed per analytic plan
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Providing subject matter expertise and quality assurance of complex data analytics projects
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Automating processes/codes
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Familiarising yourself with new tools/software/techniques
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.
Qualifications
What we’re after…
- Graduate degree (Masters) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience
- Results oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor
- Hands-on experience with one or more data analytics/programming tools such as R/Python
- Hands-on experience with SQL databases
- Experience in the application of analytics technique to business problems
- Ability to communicate the results of projects to both technical and business audiences
- Full professional proficiency in English
- Strong passion for working with complex data sets and tackling quantitative problems
- Experience in data analytics and data visualisation
Preferred Qualifications
- Experience with distributed computing in Apache Spark is a plus
- Experience with dashboarding tools such as PowerBI/Tableau is a plus
- Relevant degree in data analytics, statistics, mathematics etc.
- Passion in processing and summarising large data sets. Knowledge of payment network transactional data is a plus
- Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
- Proven skills in translating analytics output to actionable recommendations and delivery
Additional Information
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.
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What We Do
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges,
growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world.
Progress starts with you
For more information, visit visa.com/about, @LifeatVisa Instagram, and @VisaNews on X.
Why Work With Us
At Visa, every voice powers progress. We believe inclusion fuels innovation — and that unique perspectives create better outcomes for our teams, our business, and the world we serve. With more than 13K members across our Employee Resource Groups, you’ll find community, allyship, and opportunities to lead, learn and make an impact beyond your desk.
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