Remote Machine Learning Data Analyst

Talentcross; Ciudad de Mendoza; Remote; ARS 92,724,000 - 139,086,000; Full time

Benefits offered by this job

Remote work

Competitive compensation

High-visibility role on a scaling Data

Culture of experimentation and impact

Job summary

Prometeo Talent partners with a US-based marketing analytics firm to hire a Data Analyst. The role focuses on querying, transforming, and analyzing large-scale consumer datasets to generate actionable insights for education and nonprofit clients.

You will build structured datasets, validate data quality, and collaborate across teams to power recurring reports and inform decisions. The position is fully remote, with an emphasis on data integrity, SQL proficiency, and the ability to translate

Qualifications

• 0–4 years of experience in Data Analytics or similar analytical roles.
• Advanced English (written and spoken).
• Strong SQL skills, including joins, filtering and aggregations.
• Understanding of relational databases and data structures.
• Experience working with large datasets and data validation.
• Bachelor's degree in a related quantitative field.

Responsibilities

• Extract, query, and manipulate data using SQL from relational databases and cloud data warehouses.
• Analyze large transactional and consumer datasets to identify trends and insights.
• Build and maintain structured datasets supporting recurring reports and analyses.
• Calculate key metrics such as market penetration, trends, and purchasing behavior.
• Work with raw data, cleaning and categorizing information as needed.
• Validate data outputs and ensure data integrity across teams.
• Collaborate with internal teams to support reporting needs and answer business questions.
• Translate complex datasets into clear findings and recommendations.

Skills

Advanced English

SQL

Data analysis

Python basics

Education

Bachelor's degree

Tools

Power BI

Looker

Tableau

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.

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

Data Analyst

About Us

Prometeo Talent is a recruitment agency with a strong presence across the Americas and Europe. We specialize in connecting companies with exceptional tech and engineering professionals.

We have partnered with a U.S.-based company that specializes in marketing effectiveness measurement across various channels. They are an independent company fully dedicated to helping organizations understand consumer behavior, purchasing trends, and market performance through data-driven insights.

We are looking for a Data Analyst to join our client’s global team. This role is open to both recent graduates and early-career professionals who are passionate about working with data. The position focuses on querying, transforming, and analyzing large-scale consumer and retail datasets to generate actionable insights for clients and internal stakeholders.

What You Will Do

• Extract, query, and manipulate data using SQL from relational databases and cloud data warehouses.
• Analyze large transactional and consumer datasets to identify trends, patterns, and business insights.
• Build and maintain structured datasets that support recurring reports and business analyses.
• Calculate key business metrics such as household penetration, market share, purchasing behavior, and category trends.
• Work with raw and semi-structured data, cleaning and categorizing information as needed.
• Validate data outputs and perform quality checks to ensure data accuracy and integrity.
• Collaborate with internal teams to support reporting needs and answer business questions through data.
• Translate complex datasets into clear findings and recommendations.

Requirements

• 0–4 years of experience in Data Analytics, Reporting, Business Intelligence, or similar analytical roles.
• Advanced English level (written and spoken).
• Strong SQL skills, including joins, filtering, aggregations, GROUP BY statements, and conditional logic.
• Understanding of relational databases, table relationships, and data structures.
• Experience working with large datasets and performing data validation.
• Ability to identify trends, anomalies, and meaningful business insights from data.
• Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, Engineering, or a related quantitative field.

Nice to Have

• Experience with Common Table Expressions (CTEs), subqueries, or window functions.
• Experience working with consumer, retail, panel, transactional, or market research datasets.
• Familiarity with data visualization tools such as Power BI, Looker, Tableau, or similar.
• Experience with text data cleaning, categorization, or string manipulation techniques.
• Basic knowledge of Python for data manipulation and analysis.

Why Join Us?

• 10 days of PTO to recharge wherever you choose.
• Enjoy USA Holidays.
• 100% remote work—design the work-life balance that fits you best.
• Work with large-scale consumer and retail datasets that drive real business decisions.
• Collaborate with a global, multidisciplinary team.
• Develop your SQL, analytics, and business intelligence skills while working on impactful projects.