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
The Data Science Manager is a member of CEE Data Solutions team based in Warsaw. As a Data Science Manager, you will be accountable for leading the design, implementation and development of analytics tools and reports used for Visa's external clients. In this role, you will collaborate with Global Analytics, Business, and Technology teams across the organization to implement best-in-class services to drive business performance with a clear commercial ‘value’ and measurable ‘return’.
Principal Responsibilities
- Designing, developing and implementing analytical solutions for external partners
- Regular and bespoke data analysis to provide insights on the performance and highlighting opportunities for growth
- Create and deliver powerful business-centric insights from data through better visualization and storyboarding
- Collaborating with the internal and external partners to fully understand business requirements and desired business outcomes
- Enhancing existing analytic techniques by promoting new methodology and best practices in analytics field
- Providing subject matter expertise and quality assurance of complex data driven analytic projects
- Defining detailed analytic scope and methodology, and creating analytic plan
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
Professional Experience
Minimum of 5 years of analytics expertise in applying statistical solutions to business problems
Graduate/Post Graduate degree in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience
Understanding of Payments and Banking Industry
Good understanding of data, market intelligence, business intelligence
Demonstrated ability to incorporate new techniques to solve business problems
Demonstrated resource planning and delivery skills
Technical Expertise
Fluency in Python (for Data Science) and SQL is mandatory
Good understanding of Big Data tools (Hadoop, Spark, Hive)
Experience in building statistical models and doing statistical analysis
Hands on experience on processing extremely large data sets. Knowledge of payment network transactional data is a plus
Ability to solve business problems through data driven quantitative methodologies
Define and design analytic approaches to business problems
Fluency in English
Business Experience
Results oriented with strong analytical, consultative and problem solving skills, with demonstrated intellectual and analytical rigor
Good business acumen with strong ability to solve business problems through data driven quantitative methodologies. Experience in payment, retail banking, or retail merchant industries is preferred
Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
Excellent interpersonal skills to work collaboratively across functions and geographies in a matrix environment
Proven skills in translating analytics output to actionable recommendations, and delivery
Experience in presenting ideas and analysis to stakeholders
Exhibit intellectual curiosity and strive to continually learn
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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