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 #LifeAtVisa

Job Description

  • Having a deep understanding of data, data concepts and predictive techniques, data analysis

  • Being able to manipulate, analyze data and run feasibility studies, proof of concepts (sql, python)

  • Evangelize technical approaches in data visualization and act as a BI subject matter expert as it relates to tooling an execution practices

  • Having good understanding of client’s data needs/requirements and being able to gather feedback from stakeholders to fully understand clients’ needs and requirements

  • Being able to design/propose analytic plans with appropriate data mining and statistical techniques 

  • Defining detailed analytic scope and methodology which will answer the right client’s questions

  • Familiarizing yourself with existing deliverables and solutions across Europe. Identifying enhancements to existing solutions and approaches by promoting new methodologies and best practices in data science field  

  • Familiarizing yourself with new tools/software/techniques/AI/Gen AI

  • Having a strong sense of scalability

  • Being a data advocate and showcasing our capabilities to other teams. Identify trends in our client work to inform Visa’s data product development path.

  • Working with VCA consultants, Data Solutions team, Engineering teams in all European markets. Working with data science/tech teams who are responsible for building automated solutions which you will design/prototype.

  • Helping to drive innovation and shape data product roadmap for Merchants & Acquirers practice area. Identifying data product development opportunities across markets and helping to shape the vision of data products

  • Supporting documentation which will be required when launching a new data product/solution (training material, sales collateral)

  • Design data solutions which are business-centric (from data through visualization to storyboarding and predictions)

  • Communicating plans with internal stakeholders. Being able to successfully prioritize work and influence other decision makers.

  • Advocating data ethics & compliance and having a strong understanding of Data Privacy, Disclosure Rules

  • Commercial focus on priority outcomes, including related P&L targets

  • Be able to flex, collaborate and build credibility across global cross-functional teams, including suppliers, partners and stakeholders as required - across multiple disciplines including data product, sales, data science, innovation, development, operations, finance, legal/regulation and marketing

  • Act as SME and spokesperson providing the voice of data products within Visa in Europe and externally in Visa client meetings, ensuring awareness and Visa leadership role in the data category.

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

• Minimum of 3 years of experience with big data, data product management

• Strong data analysis skills (sql/python).

• Working knowledge of business intelligence/reporting tools and outstanding analytical skills. Must be able to analyze and interpret data and to critically evaluate information gathered from different sources.

• Min. 3+years hands-on experience for design, develop and implement visually appealing interactive dashboards using Tableau for in-depth analytical & insight purposes, ensuing efficient performance.

• Expert knowledge of data visualization ecosystem and common open source technologies (e.g. Tableau , Power BI, Microstrategy), associated with scalable BI design principles and preferably in a financial services or consulting setting for client facing solutions

• A broad knowledge and understanding of relevant technologies and analytics techniques such as SQL/Hadoop, coding, machine learning/AI, statistical/predictive models, data cleansing, large scale data analysis, etc.,

• Demonstrable prior data product experience of successful data product development and roll-out, and clear understanding of the impacts to stakeholders throughout the end to end lifecycle

• Commercial and Financial experience of managing assets such as investment funds and data product P&L

• Proven ability to take initiative, solve business problems, and have focus on client success

• Must be a problem solver. Must have the ability to proactively identify and resolve issues, including unique, complex problems.

• Educated to degree level

• Must be self-motivated and be able to work independently, as well as a part of a culturally diverse team

• Excellent verbal and written communications skills. Must be able to effectively interact and collaborate with users, team members, management and other resources in a cross-functional, demanding environment.

• Fluent in English. An additional European language is a plus.

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.

Location

Warsaw, Poland

Job Overview
Job Posted:
10 months ago
Job Expires:
Job Type
Full Time

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