Campaign Analyst/Manager

Visa
Auckland
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Stakeholder management","Communication","Prioritization","Problem-solving","Quality assurance"]

Design, build, and optimize data-driven customer communication campaigns across card portfolios, ensuring accuracy, relevance, timeliness, and effectiveness. Use SQL/SAS and related tools to translate marketing and product requirements into technical builds, segmentation, and data structures. Measure performance through pre/post analysis, develop dashboards and models, and identify optimization opportunities for messaging, targeting, and channel sequencing within an agile squad.

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FursaFursa
Visa
Visa
5 days ago

Campaign Analyst/Manager

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Source: Company careers pageValidated by: Fursa AI
Last checked: 42 minutes agoStatus: Live

Job Summary

Design, build, and optimize data-driven customer communication campaigns across card portfolios, ensuring accuracy, relevance, timeliness, and effectiveness. Use SQL/SAS and related tools to translate marketing and product requirements into technical builds, segmentation, and data structures. Measure performance through pre/post analysis, develop dashboards and models, and identify optimization opportunities for messaging, targeting, and channel sequencing within an agile squad.
Location: Auckland
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and execute data-driven customer communications using SQL/SAS and similar tools.
  • •Translate marketing and product requirements into technical campaign builds, segmentation logic, and data structures.
  • •Apply processes and quality assurance checks to ensure standardization, data integrity, and accurate outputs.
  • •Perform pre- and post-campaign analysis to identify performance drivers and recommend optimization opportunities.
  • •Develop and maintain analytical assets such as dashboards, reporting frameworks, and models to improve campaign effectiveness.

Key Requirements

  • •Strong experience in SQL/SAS for data analysis, campaign development, and data manipulation.
  • •Proven ability to analyze large data sets, develop insights, and build analytical models.
  • •Strong attention to detail and a structured problem-solving approach with high-quality outputs.
  • •Experience in data-driven marketing, CRM, or customer analytics, ideally in banking or financial services.
  • •Advanced skills in Excel and PowerPoint, with the ability to clearly communicate insights.
Experience:Financial servicesBankingCRM
Skills:Stakeholder managementCommunicationPrioritizationProblem-solvingQuality assurance
Tech Stack:SQLSASExcelPowerPointDashboardsReporting frameworks

Company Brief

Visa
Global payments technology company that operates the VisaNet electronic payments network, facilitating credit, debit and digital transactions between consumers, merchants, financial institutions and governments worldwide.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1958
Glassdoor
Glassdoor: 3.8
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