Data Insights Analyst
Data Insights Analyst
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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 Visas stakeholders in Europe. In this role you will work collaboratively with VBEI and other internal functions in promoting insights driven culture creative and cuttingedge 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
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 businesscentric 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 23 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 were 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 problemsolving skills with demonstrated intellectual and analytical rigor
- Handson experience with one or more data analytics/programming tools such as R/Python
- Handson 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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
