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Data-Driven Marketing Insights Specialist
2 semanas atrás
Marketing Analytics Specialist
We are seeking a Marketing Analytics Specialist to join our team. As a key member of our analytics team, you will be responsible for delivering actionable insights and transforming them into scalable solutions to inform marketing strategies.
Key Responsibilities:
- Support the production of insights and analyses to identify business opportunities and improve marketing initiative performance.
- Develop and deploy analytical models and assets within the marketing organization and our clients.
- Work with large volumes of data; extract and manipulate large datasets using standard tools such as Hadoop Ecosystem, PySpark, SAS, Presto, SQL, etc.
- Produce high-quality data sets for analytics and predictive modeling by parsing and aggregating messy, incomplete, and unstructured data sources.
- Develop and validate advance data mining tools, algorithms, and other capabilities to solve business problems.
- Utilize Visa's data and analytic capabilities, technology, and industry expertise to help standardize and improve consumer journey.
- Work with internal/external clients to understand key business/campaign questions for project scoping, analytics design, and execution to produce actionable insights.
- Identify relevant market trends, based on a deep analysis of payment industry.
- Leverage and adapt existing Visa models to optimize campaign strategies.
- Document all use cases and learning to effectively change consumer behavior and maximize revenue potential in future implementations.
- Continuously research industry metrics and analytics approaches, to develop, improve and innovate Visa analytics practices.
- Find opportunities to standardize, automate and enable self-service scalable analyses.
- Propose hypothesis, tests and experiments to determine success benchmarks for campaigns.
- Engage and collaborate with Visa Data Science community and Global Marketing Analytics to leverage the breadth and depth of Visa's resources.
Qualifications:
- Bachelor's Degree or at least 2 years of work experience with an Advanced degree in a quantitative field such as Statistics, Mathematics, Econometrics, Computer Science or Operations Research.
- 2 years of relevant industry experience in analytics in a leading commercial brand or technology company (experience in retail/financial services/digital payments is preferred).
- Proven hands-on skills in cleaning, manipulating, analyzing, visualizing large data sets.
- Fluent in Portuguese and English, Spanish is a plus.
About Us:
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.
EEO Employer:
We are an Equal Employment Opportunity 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.
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