Machine Learning Analyst | 100% Remoto | LATAM

What do we offer?

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 global 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 idóneo 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 Us

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 global 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.

What You Will Do

- Write, 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.

Requirements

- 0 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 Have

- Experience working with consumer, retail, panel, or transactional datasets.
- Familiarity with cloud data warehouses (e.g., Snowflake, Big Query, 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 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 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.

**AI Operations & Enablement Analyst**
What if you could redefine what's possible? With us, you can.
With us, you can. You want Purpose. Growth. Opportunity. People who get it.
We are the home of ambitious, passionate, and innovative world shapers.
With an unmatched breadth and depth of engineering, advisory and science based expertise,



our global minds unite to power local solutions.
We are pathfinders and impact makers.
We are Visioneers.
We are WSP.
**The Opportunity - Build the Future with Us**
The **AI Operations & Enablement Analyst** ensures support readiness by creating knowledge base content and delivering targeted enablement for the Service Desk and OSS to improve first-contact resolution. The role also measures and communicates impact by tracking adoption/value metrics, analyzing trends to remove barriers, and producing dashboards and leadership readouts with clear recommendations.
**Your Impact**
**You will:**

- Maintain a governed, searchable library of approved playbooks and prompts (version control, change notes, and deprecation of outdated patterns).
- Create and maintain knowledge base articles (how-to, troubleshooting, known issues, escalation paths) to keep the Service Desk and OSS ready to support AI tools and products.
- Deliver targeted enablement for support teams (walkthroughs, office hours, and release briefings) to reduce time-to-resolution and improve first-contact support.
- Track and report adoption and value metrics (usage, retention, feature penetration, time saved), including segmentation by persona, region, and business line.
- Analyze trends to identify adoption barriers and opportunities; recommend targeted actions such as new playbooks, training updates, or product feedback.
- Produce dashboards and monthly/quarterly leadership readouts that connect adoption metrics to outcomes, risks, and recommended next steps.

**The Skills That Set You Apart**
**You bring:**

- Demonstrated success working in a matrixed environment, aligning priorities across teams to execute shared goals.
- Experience developing and maintaining reusable AI playbooks and prompt patterns, including version control, change notes, and retirement of outdated content.
- Working knowledge of responsible AI and safe-use practices (privacy, confidentiality, data handling) and the ability to embed quality and verification guardrails into enablement materials.
- Strong technical writing skills with experience producing knowledge base content (how-to, troubleshooting, known issues, escalation paths) and applying content standards/taxonomy to keep information easy to find.
- Proven ability to enable support teams with a focus on improving first-contact resolution and time-to-resolution.
- Strong analytical skills with experience tracking adoption and value metrics (usage, retention, feature penetration, time saved) and segmenting insights by persona, region, and business line.
- Experience producing dashboards and leadership readouts that connect metrics to outcomes, risks, and clear recommendations.
- Ability to identify adoption barriers, synthesize root causes, and drive improvements through updated playbooks, targeted enablement, and actionable product feedback.

#LI-VVB
#Chile
**Title:** *AI Operations & Enablement Analyst*
**Location:** *CHL-SANTIAGO*
**Other Locations:** *CO-CU-Bogotá D.C., AR-M-Mendoza, MX-MX-Ciudad de México, PE-LIM-Lima, BR-SP-São Paulo*

**Requisition ID:** * *

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📌 Remote Ai/Ml Tech Recruiter (Mendoza)
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