Prometeo Talent is a recruitment agency with a strong presence across the Americas and Europe.
We specialize in connecting companies with exceptional professionals across data, analytics, and business functions.We have partnered with a U.S.-based company specialized in marketing effectiveness measurement.
They help organizations better understand consumer behavior, purchasing trends, brand performance, and market dynamics through data-driven insights.We are looking for a Data Analyst (Machine Learning) to join our client's general team.This role is ideal for analytical and data-driven professionals who enjoy working with large-scale consumer and retail datasets, bridging the gap between complex database structures and business strategy, and turning raw transactional or behavioral data into clear, actionable metrics.The ideal candidate combines solid SQL and Python skills, a strong "numbers sense", attention to detail, and the ability to translate technical results into clear summaries for stakeholders in English.
The position is open to a range of experience levels, from recent graduates with a strong quantitative background to mid-level analysts looking to deepen their technical data manipulation skills.About UsPrometeo Talent is a recruitment agency with a strong presence across the Americas and Europe.
We specialize in connecting companies with exceptional professionals across data, analytics, and business functions.We have partnered with a U.S.-based company specialized in marketing effectiveness measurement.
They help organizations better understand consumer behavior, purchasing trends, brand performance, and market dynamics through data-driven insights.We are looking for a Data Analyst (Machine Learning) to join our client's global team.What You Will DoWrite, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.Develop, run, and validate machine learning, predictive, or statistical matching models to uncover deeper consumer behaviors and forecast trends.Slice, unpivot, and aggregate raw transactional or panel data to calculate core business metrics such as household penetration, market share, and purchasing trends.Build and maintain clean, structured data tables and views that feed into recurring tracking reports and stakeholder dashboards.Review query outputs, perform data audits, and double-check logic to ensure accuracy and data integrity before insights are finalized.Use conditional logic and filtering techniques to segment data and isolate specific tracking cohorts.Clean, parse, and categorize unstructured or semi-structured text data.Translate technical data structures and query results into clear written summaries, bullet points, or data tables for stakeholders in English-speaking environments.Requirements0 to 4 years of experience in Data Analysis, Business Analytics, or similar roles.
Entry-level candidates with strong relevant coursework, personal data projects, or internships are welcome, as well as mid-level professionals with a proven track record of querying databases to drive business insights.Advanced English level (written and spoken).
Foundational to intermediate SQL skills, including complex JOIN logic, standard aggregations, and CASE WHEN conditional logic.Python scripting for data cleaning, manipulation, and processing, with proficiency in pandas for complex multi-step transformations.Familiarity with modeling libraries such as scikit-learn or statsmodels to build and evaluate predictive or statistical matching models.Experience working with messy text fields: cleaning, parsing, filtering,



and pattern matching within string variables.Solid understanding of relational database design, including how tables connect, primary/foreign keys, and data normalization.Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or a related field with coursework covering database management or quantitative data analysis.Nice to HaveExperience working with consumer, retail, panel, or transactional datasets.Familiarity with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
Exposure to marketing analytics, consumer insights, or market measurement environments.Experience building data tables or views that feed dashboards and recurring reports.Why Join Us10 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 real consumer and market data that influences strategic business decisions.Collaborate with international teams and stakeholders.Develop your expertise in SQL, Python, and machine learning while working on impactful projects.Machine Learning Analyst | 100% Remoto | LATAMWe 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.Company OverviewWe 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.Your RoleThe 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'llOwn 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 durabilityOwn 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 verifiedOwn 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 liveOwn 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 adjustmentsSupport 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 dataYou Bring3+ years of hands‐on tracking or web analytics experience in a marketing or agency environmentIntermediate experience with GTM containers, trigger and variable creation, data layer implementation, and server‐side taggingPractical 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 LinkedInHands‐on GA4 experience, including event configuration, key events, and DebugViewComfort 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 KPIsAn 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 valuedBonus PointsInterest in using AI or LLM tools to streamline tag management audits, automate data layer validation, or troubleshoot complex tracking discrepancies across ad platformsFamiliarity using AI‐driven insights to assist server‐side tag configuration, optimize conversion modeling in privacy‐first environments, or generate technical documentation for tracking setupsAn 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 analysisWhat's OfferedRemote role with the flexibility that comes with a distributed, async‐friendly teamCompetitive compensation based on experience and locationA pivotal, high‐visibility seat on a scaling Data & Analytics team, with real ownership over the tracking infrastructure every campaign and report depends onThe chance to build the measurement backbone for an agency whose partners are education and nonprofit organizations working to build a better worldA culture built around finding a better way, playing as a team of A‐players, and treating results as the engine rather than the goalDirect impact: the tags and tracking decisions you make show up directly in whether partners can trust their own data
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📌 Machine Learning Analyst | 100% Remoto | Latam (Mendoza)
🏢 Prometeo Talent
📍 Mendoza