Manager, Marketing Data and Technology

Job not on LinkedIn

🔥 1 hour ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🎡 Marketing

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Oportun

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

💼 Consulting

🛡️ Insurance

💳 Fintech

Consulting • Insurance • Fintech

Oportun is a financial technology company that specializes in providing affordable personal loans and savings solutions. They are recognized as Bankrate's #1 app for saving money in 2024. Oportun offers personal loans ranging from $300 to $10,000 for various financial needs such as bills, repairs, and deposits, with quick funding and affordable payments. The company provides a unique app that helps users manage their loans and saves money intelligently. Oportun also focuses on financial education and offers tools like loan calculators and prequalification services, which do not impact credit scores. Although Oportun is not a bank, they ensure deposits are FDIC insured through partner banks.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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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