Onsite
Full Time Posted 7 days ago
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Job Type

Full Time

Job Details

Job Description

Visa is seeking a team member based in Sao Paulo who will play a pivotal role in developing and implementing campaign measurement methodologies and processes for both client and core Visa LAC marketing campaigns. The role encompasses leading third party vendor teams to measure the impact of these campaigns. The role involves hands on activities such as the development and execution of campaign measurement methodologies and processes, using either traditional or advanced statistical and automation approaches. It also involves creating documentation, as well as aligning presenting and negotiating with internal stakeholders.

 

Specific responsibilities for this role include:

 

  • Design, develop and deploy standard methods and processes for measuring the performance and impact of Visa LAC client and core marketing campaigns.
  • Automation of measurement solutions and models.
  • Design and develop automation of measurement solutions and models using various tools and technologies, as well as optimize and improve the performance and quality of automation solutions and processes.
  • Leverage Visa data, technology, and industry expertise to ensure consistent and accurate measurement of marketing campaigns across LAC.
  • Keep abreast of the latest trends and best practices in marketing measurement and analytics, and present new ideas to enhance Visa current measurement capabilities.
  • Align the data and insights with the business objectives, understand the challenges and opportunities, and provide actionable recommendations based on the measurement results.
  • Collaborate with both internal and external stakeholders to define the scope and objectives of the analysis and initiatives that support marketing campaign measurement.
  • Lead and manage third party vendor teams to deliver timely and quality measurement reports and insights for Visa LAC core and client campaigns.

 

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
  • BA or BS required, MBA or other relevant Master degree preferred (Statistics, Computer Science, and Engineering).
  • 8+ years of relevant industry experience in in Analytics and CRM, including the full campaign execution cycle, such as: Journeys automation, Campaign Datamart structure, Campaign segmentation, result measurement methodologies
  • Previous experience on studies on consumer behavior, marketing campaign targeting and effectiveness and CLTV
  • Proven Hands on experience in advanced analytics and statistical modeling including Linear Regression, Logistic Regression, Clustering methods (e.g. K means), Classification methods (Decision Trees, Random Forest), among others.
  • Work with large volumes of data, extract and manipulate large datasets using standard tools such as Hadoop Ecosystem, Apache Spark, through scripting in Python, SQL, Java etc.
  • Hands on skills in cleaning, manipulating, analyzing, visualizing and modeling large data sets
  • Transform data and analysis to executive business language
  • Continuously develop and present innovative ideas based on data driven approach in order to improve current business practices within Visa
  • Excellent project management and organizational and presentational skills.
  • Self motivated, results oriented individual with the ability to handle numerous projects concurrently

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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Sr. Manager - Marketing Data Science
I'm Interested