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data analyst

Job Post Details

Data scientist - job post

Visa
3.9 out of 5
Praha
Trvalý
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  • Trvalý

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Úplný popis pracovní pozice:

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


Professional Experience

  • 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

  • Good skills in Excel and PowerPoint
  • Experience in running SQL scripts to extract data from multiple data sources
  • Ability to solve business problems through data driven quantitative methodologies
  • Define and design analytic approaches to business problems
  • Ensure the usage of the correct analytic measures and metrics to solve the business problem
  • Understanding of data marts, data relationship concepts and data processing
  • Fluency in English


Business Experience

  • Results oriented with strong analytical, consultative and problem solving skills
  • Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
  • Interpersonal skills to work collaboratively across functions and geographies in a matrix environment
  • Very detailed oriented, is expected to ensure highest level of quality/rigor in reports & data analysis
  • Experience in presenting ideas and analysis to stakeholders
  • Exhibit intellectual curiosity and strive to continually learn

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


Basic Qualifications
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

Preferred Qualifications
3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)

Designing, developing and implementing BI, reporting and analytic solutions

Regular and bespoke data analysis to provide insights on the performance and highlighting opportunities for growth

Collaborating with the internal and external partners to fully understand business requirements and desired business outcomes

Running market scans to identify new, emerging players in specified segments, verticals that could complement Visa’s offer

Providing subject matter expertise and quality assurance of complex data driven analytic projects

Working with the Data Science team as well as the client’s account executives and other Visa functions as applicable to design and refine a value proposition

Conduct data analysis to support the exploration leveraging both Microsoft excel and internal BI tools Tableau and Microstrategy


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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