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.
Top Skills
What We Do
At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. As our products and technology have evolved with the world, Visa remains ubiquitous, reaching new customers in new and often invisible ways. We are at the center of this digital revolution with a network that connects people with over 80 million businesses all over the world. And Visa’s network is expanding, accelerating our growth. Our resilient business model, with its strong track record of success, will provide you with amazing opportunities to grow in your career, as well.
We are looking for people like YOU. Come join a people-centric company where you can invest in your career.
For more information, visit visa.com/about, visacorporate.tumblr.com and @VisaNews on Twitter.
Why Work With Us
Our employees are our company. Creating an inclusive and diverse workplace has been our key priority. With our purpose to “uplift everyone, everywhere” as our guide, we’re building an environment where diverse backgrounds and perspectives are celebrated and drive success inside our company and out in our communities.
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