Data & Insights Analyst

6 dni temu

Warszawa, Mazovia, Polska TN Poland Pełny etat

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.

What we expect of you, day to day:
  • Evangelizes the creative use of data analytics to explore large data sets and summarise results
  • Works with VBEI Data Scientists to drive data science business development opportunities and new data products
  • Build data dashboards for presenting insights and data products to key stakeholders
  • Create and deliver powerful business-centric insights from data through visualization and storyboarding
  • Collaborating with the internal partners to fully understand business requirements and desired business outcomes
  • Execution proficiency in handling multiple medium data analytics projects along with rest of the stakeholders in the project team
  • Defining detailed analytic scope and methodology, and creating analytic/approach plans
  • Executing on the analytic plans with appropriate data mining and statistical techniques
  • Ensuring project delivery within timelines
  • Ensuring all project documentation is up to date and all projects are reviewed per analytic plan
  • Providing subject matter expertise and quality assurance of complex data analytics projects
  • Automating processes/codes
  • 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.

QualificationsWhat 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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