Manager, Marketing Data and Technology

🕒 Novembro 3

🇲🇽 México – Remoto

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🎯 Marketing

👻 Score fantasma 12%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Por que essa pontuação:

• Aberta há 7 dias.
• As vagas desta empresa costumam ser preenchidas em 42 dias.
• Sem salário divulgado.

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Oportun

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2006

💼 Consultoria

🛡️ Seguros

💳 Fintech

Consulting • Insurance • Fintech

A Oportun é uma empresa de tecnologia financeira que se especializa em oferecer empréstimos pessoais acessíveis e soluções de poupança. A empresa foi reconhecida pela Bankrate como o app nº 1 para economizar dinheiro em 2024. A Oportun oferece empréstimos pessoais de US$ 300 a US$ 10. 000 para diversas necessidades financeiras, como contas, reparos e depósitos, com liberação rápida dos recursos e parcelas acessíveis. A companhia disponibiliza um aplicativo exclusivo que ajuda os usuários a gerenciar seus empréstimos e a economizar dinheiro de forma inteligente. A Oportun também foca em educação financeira e oferece ferramentas como calculadoras de empréstimos e serviços de pré-qualificação, que não impactam a pontuação de crédito. Embora a Oportun não seja um banco, ela garante que os depósitos sejam segurados pelo FDIC por meio de bancos parceiros.

Descrição

• Own marketing data quality across assigned platforms and internal databases, including accuracy, completeness, consistency, and timely delivery • Build and maintain validation, reconciliation, monitoring, and alerting processes • Investigate root causes of data and integration issues and drive solutions through implementation and ongoing monitoring • Manage website tagging and tracking, including Google Analytics, tag management configurations, pixels, and event implementations • Configure, maintain, monitor, and troubleshoot APIs, webhooks, and data integrations between marketing vendors and internal systems • Use Python or SQL to query, validate, transform, reconcile data, and automate recurring operational tasks • Manage and troubleshoot assigned MarTech tools and configurations supporting data collection, audience activation, and reporting • Establish and maintain UTM parameters, campaign naming conventions, and tracking standards • Identify data gaps, process weaknesses, and opportunities to improve tracking, integrations, automation, and operational efficiency • Document data flows, tracking definitions, configurations, validation procedures, and troubleshooting processes • Coordinate with cross-functional partners and vendors on requirements, testing, releases, issue resolution, priorities, and risks • Use AI and automation to improve data validation, monitoring, troubleshooting, documentation, and operational efficiency

🎯 Requisitos

• 5+ years of relevant experience in marketing technology, marketing data operations, data engineering, marketing analytics, or a similar technical role • Proficiency in Python or SQL, including independently writing, troubleshooting, and maintaining code for data validation, transformation, or automation • Hands-on experience managing website tagging and tracking, including Google Analytics and a tag management platform such as Google Tag Manager or Tealium • Experience configuring, testing, and troubleshooting REST APIs, webhooks, and data integrations • Experience reconciling data across systems, implementing quality checks, and resolving underlying data issues • Demonstrated ability to serve as the primary owner of assigned systems and processes in a small team environment • Strong problem-solving skills • Strong organizational, documentation, communication, and project management skills • Ability to work autonomously across teams, vendors, and time zones while managing competing priorities • Nice-to-have: experience with tagging frameworks, attribution data, Databricks, customer data platforms, Amplitude, Iterable, scripting, workflow automation, scheduled data jobs, monitoring tools, financial services or sensitive customer data, data privacy, access controls, governance requirements, AI-assisted tools • Nice-to-have: Bachelor’s degree or equivalent practical experience

🏖️ Benefícios

• Medical Insurance • Savings Fund • Life Insurance • Internet and Electricity Allowance • Paid time off such as vacation and parental leave • Competitive compensation and benefits package supporting physical, financial, and professional well-being

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