Bi & Data Analyst — Real Estate & Fintech Portfolios

Bbva Sa

Neuquén

Remote

ARS 108,178,000 - 154,540,000

Full time

10 days ago

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Benefits offered by this job

Remote role
Competitive compensation
High-visibility role
Ownership over tracking infrastructure

Job summary

Marketing Agency for Education is seeking a Data Analyst with GA4 and GTM experience to join a remote team focused on education and nonprofit partners. You will own the web analytics and pixel deployment architecture, ensuring reliable data from first click to CRM entry.

Reporting to the Data and Analytics Manager, you will deploy tags in GTM, configure GA4 events, troubleshoot across paid platforms, enforce privacy compliance, and document tagging practices for cross-team enablement.

Qualifications

  • 3+ years of hands-on tracking or web analytics in marketing/agency.
  • Experience with GTM containers, data layers, server-side tagging.
  • Experience configuring GA4 events and DebugView.
  • Experience with browser dev tools and HTML/CSS for tagging.
  • Knowledge of GDPR/CCPA and consent management.
  • Ability to translate technical tracking into business insights.

Responsibilities

  • Own tag management & deployment in GTM across multi-client env.
  • Own conversion tracking & platform integration with major ad platforms.
  • Own QA, debugging & data integrity across sites.
  • Own data privacy compliance across client sites.
  • Support tagging plans and cross-team enablement.

Skills

Hands-on tracking
GTM containers
GA4 event configuration
HTML/CSS/JavaScript basics
Privacy compliance (GDPR/CCPA)
Data storytelling

Tools

Google Tag Manager
GA4

Job description

Data Analyst with GA4 and GTM experience | Remote for Marketing Agency for Education

Our client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors. Since launching in 2020, the agency has built a strong reputation for combining strategic thinking, creative execution, and data-driven marketing to help universities and organizations achieve measurable growth.


Our client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors. Since launching in 2020, the agency has built a strong reputation for combining strategic thinking, creative execution, and data-driven marketing to help universities and organizations achieve measurable growth.


Company Overview:

Our client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors. Since launching in 2020, the agency has built a strong reputation for combining strategic thinking, creative execution, and data-driven marketing to help universities and organizations achieve measurable growth.


Your Role:

The Web Analyst is a key member of the agency's Data and Analytics team, owning the web analytics and pixel deployment architecture that everything downstream depends on. You'll implement tracking via Google Tag Manager, troubleshoot setup issues across every paid ad platform the agency runs, and make sure data collection from client websites is airtight, from the first click through to CRM entry. Reporting to the Data and Analytics Manager, you're joining at a pivotal moment — the agency is scaling its roster of education and nonprofit partners, and this role is instrumental in evolving the tracking workflow that keeps every campaign measurable and every report trustworthy.


You'll:


  • Own tag management & deployment — deploy, configure, and maintain pixels, tags, and scripts in Google Tag Manager (native templates and Custom HTML); build and maintain data layers with the Web Services team; manage GTM container structure, triggers, and variables across a multi-client environment; implement server-side tagging where it improves measurement accuracy and durability


  • Own conversion tracking & platform integration — connect website activity to paid ad platforms (Meta, Google Ads, TikTok, LinkedIn, Snapchat) using both browser pixels and Conversion APIs (CAPI); configure standard and custom events (leads, applications, inquiries) for accurate reporting and platform optimization; configure and maintain event tracking and key events in GA4 from ad click through form submission and CRM entry; partner with Paid Media and Web Services so every campaign and landing page launches with tracking implemented and verified


  • Own QA, debugging & data integrity — audit and debug broken tags, dropped events, and data discrepancies across client websites; troubleshoot mismatches between ad platforms, GA4, and CRM to root cause; run routine tag health audits across the portfolio; verify events in platform Events Managers and GA4 DebugView before any campaign goes live


  • Own data privacy compliance — manage cookie consent banners and consent mode configuration across client sites; keep tracking implementations aligned with GDPR, CCPA, and other privacy regulations; monitor platform and browser changes that affect tracking durability and recommend adjustments


  • Support documentation & cross-team enablement — maintain tagging plans, naming conventions, and QA checklists; translate business requirements from account and client teams into functional tracking solutions; document technical setups so internal teams can interpret and rely on the data



You Bring:


  • 3+ years of hands-on tracking or web analytics experience in a marketing or agency environment


  • Intermediate experience with GTM containers, trigger and variable creation, data layer implementation, and server-side tagging


  • Practical experience planning, deploying, and troubleshooting conversion tracking across major ad platforms, with working knowledge of pixel and Conversion API (CAPI) configuration for Meta, Google Ads, TikTok, and LinkedIn


  • Hands-on GA4 experience, including event configuration, key events, and DebugView


  • Comfort with HTML, CSS selectors, and basic JavaScript for tag troubleshooting and custom script implementation, and skilled use of GTM Preview mode and browser developer tools (inspect element, network tab)


  • Understanding of data privacy requirements (GDPR, CCPA) and consent management platforms, and of how tracking decisions affect Paid Media performance KPIs


  • An analytical, solution-driven mindset with a growth orientation, and strong communication skills that turn technical tracking concepts into clear narratives for non-technical audiences — education marketing experience (traditional or online) is especially valued



Bonus Points:


  • Interest in using AI or LLM tools to streamline tag management audits, automate data layer validation, or troubleshoot complex tracking discrepancies across ad platforms


  • Familiarity using AI-driven insights to assist server-side tag configuration, optimize conversion modeling in privacy-first environments, or generate technical documentation for tracking setups


  • An AI-forward mindset — curiosity about emerging AI trends in marketing technology and a willingness to experiment with new tools that could improve tracking efficiency or data analysis



What’s Offered:


  • Remote role with the flexibility that comes with a distributed, async-friendly team


  • Competitive compensation based on experience and location


  • A pivotal, high-visibility seat on a scaling Data & Analytics team, with real ownership over the tracking infrastructure every campaign and report depends on


  • The chance to build the measurement backbone for an agency whose partners are education and nonprofit organizations working to build a better world


  • A culture built around finding a better way, playing as a team of A-players, and treating results as the engine rather than the goal


  • Direct impact: the tags and tracking decisions you make show up directly in whether partners can trust their own data



Interview Process:


  • Application Review (resume + a few questions)


  • Screening Call with Atomic HR


  • Hiring Team Interview (walkthrough of a pipeline or data model you've built)


  • Technical Assessment (a real-world data engineering case study)


  • Final Interview with company leadership


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