**Company Description**
Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.
When you join Visa, you join a culture of purpose and belonging - where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement.
**Join Visa: A Network Working for Everyone.**
The Marketing Analytics Senior Manager LAC is responsible to deliver robust analytics & actionable insights to inform marketing strategies and executions to help produce positive results for the business.
It is an end-to-end integral role involving multiple responsibilities, such as: a) Identifying analytic requirements & use cases from all the Marketing Teams in the region, b) Building robust Marketing Analytics Pipeline, c) Working with Data Science teams to design & execute analytic methodologies and solutions, d) Delivering relevant insights, reports and visualizations to answer key business questions, e) Presenting learnings, best practices & recommendations to internal/external stakeholders, e) Educating/training regional & local stakeholders on available data capabilities & tools.
The position requires hands-on creation and delivery of analytic solutions, and also partnering with Data Science team or other stakeholders & vendors to execute through them analytical deliverables & use cases. It also involves working with and integrating multiple sources of information and data types, for instance: transactional data from Visa systems, data from Market Research/Surveys, media information, etc.
If you are good with analysis, developing models and can tell a solid story using data, this could be the right position for you.
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
- Bachelor's Degree in a quantitative field such as Statistics, Mathematics, Econometrics, Computer Science, Engineering, Operations Research, etc.
- At least 7 years of work experience in the Analytics field.
- Solid Analytical & Problem-Solving skills.
- Strong understanding of Data Science & Analytics tools & practices.
- Proficiency in working with large volumes of data. Extraction and usage of large datasets using tools such as Hadoop Ecosystem, Apache Spark, Hive/R/SAS, through scripting in Python, SQL, Java etc.
- Hands-on skills in cleaning, manipulating, analyzing, visualizing, and modeling large data sets.
- Experience with data visualization and business intelligence tools like Tableau, Power BI, Datorama.
- Advanced Spreadsheets knowledge (ie. Excel, Google).
- Experience developing ML algorithms (Predictive Models, Segmentations, etc).
- Experience working and analyzing consumer research studies (ie. Brand, Campaign Tracking, Behavior, etc).
- Strong business acumen to transform data and guide analysis according to business needs.
- Excellent project management and organizational skills.
- Effective communicator and presenter. Able to communicate output of complex statistical models in a way that is simple for stakeholders and actionable for the business.
- Team player, self-motivated, results oriented and able to handle numerous projects concurrently.
- Experimental mindset, marketing, technology and digitally curious.
- Passionate about the possibilities (and challenges) of an increasingly data driven world.
- Comfortable working with a regionally distributed team
- Fluent in Portuguese and English, Spanish (preferred)
PREFERRED QUALIFICATIONS
- Master or courses in Advanced Analytics, Data Science, or related area.
- 7-10 years of relevant industry experience in analytics/CRM in a leading commercial brand, consulting firm or technology company (experience in retail/financial services/digital payments is preferred).
- Previous experience working with Marketing teams and Marketing Data & Tools (ie. Consumer Research, Media, Social, D2C/CRM/Engagement engines, etc).
**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 appl