Machine Learning Analyst | 100% Remoto | LATAM

Prometeo Talent; United States; Remote; USD 7,800 - 12,000; Full time

Benefits offered by this job

PTO 10 days

100% remote

Job summary

Prometeo Talent is recruiting a Data Analyst (Machine Learning) for a US-based client. You will transform transactional and behavioral data into clear metrics and dashboards, building models to identify consumer behavior patterns and trends.

The role blends technical work with business insight, requiring strong communication for English-speaking stakeholders. The ideal candidate will have SQL and Python expertise, a data-driven mindset, and the ability to explain complex results to non-technical

Qualifications

• 0–4 years of experience in data analysis or analytics.
• Advanced English, both written and spoken.
• Basic to intermediate SQL knowledge, including JOINs, aggregations and CASE WHEN.
• Experience using Python for data cleaning and processing with pandas.
• Familiarity with ML libraries (scikit-learn).
• Experience with text data processing is a plus.

Responsibilities

• Create, optimize and run SQL queries to extract information from relational databases and cloud data warehouses.
• Develop, run and validate machine learning, predictive or statistical models to identify consumer behavior patterns and project trends.
• Transform and group transactional data to calculate business metrics such as household penetration and market share.
• Create and maintain organized data tables and views that feed recurring reports and dashboards.
• Review results and perform data audits to ensure data quality.
• Segment data using filters and conditional logic.
• Clean and categorize unstructured text data.
• Summarize technical results for English-speaking teams.

Skills

SQL

Python

Machine Learning

Data Cleaning

English Advanced

Education

University degree in related field

Tools

Snowflake

BigQuery

Redshift

Job description

Location: Guatemala

About us

Prometeo Talent is a recruitment agency with presence in America and Europe. We help companies find talented professionals in data, analytics and business areas.

We are currently working with a company headquartered in the United States that specializes in measuring the effectiveness of marketing. Its work consists of helping organizations better understand their consumers, their purchasing habits, the performance of their brands and market behavior through data analysis.

We are looking for a Data Analyst (Machine Learning) to join our client's global team.

This position is ideal for people who are analytical, curious and data-oriented, and who enjoy working with large volumes of consumer and retail information. The role combines technical work with a business perspective: you will transform transactional and behavioral data into clear metrics that help make decisions.

We are looking for someone with good knowledge of SQL and Python, attention to detail, and the ability to understand data and explain technical results clearly to different teams in English.

The position is open to different experience levels, from recent graduates with a solid quantitative background to experienced professionals who want to keep developing their technical skills in data analysis and manipulation.

What will you do?

• Create, optimize and run SQL queries to extract information from relational databases and cloud data warehouses.

• Develop, run and validate machine learning, predictive or statistical models to identify consumer behavior patterns and project trends.

• Transform and group transactional or panel data to calculate business metrics such as household penetration, market share and purchase trends.

• Create and maintain organized data tables and views that feed recurring reports and dashboards.

• Review results, perform data audits and validate the logic used to ensure the quality and accuracy of the information.

• Use filters and conditional logic to segment data and analyze specific groups.

• Clean, process and categorize unstructured or semi-structured text data.

• Convert data structures and technical results into clear summaries, bullet points or tables for English-speaking teams and stakeholders.

Requirements

• Between 0 and 4 years of experience in Data Analysis, Business Analytics or similar roles. We also consider junior profiles with relevant courses, personal data projects or internship experience, as well as professionals with experience working with databases and business analysis.

• Advanced English, both written and spoken.

• Basic to intermediate SQL knowledge, including JOINs, aggregations and conditional logic with CASE WHEN.

• Experience using Python for data cleaning, manipulation and processing, with good command of pandas for data transformations.

• Familiarity with libraries such as scikit-learn or statsmodels to develop and evaluate predictive or statistical models.

• Experience working with text data: cleaning, processing, filtering and pattern searching within strings.

• Good understanding of relational databases, including relationships between tables, primary keys, foreign keys and normalization.

• University degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing or related fields, ideally with training in databases or quantitative analysis.

It will be a plus if you have

• Experience working with consumer, retail, panel or transaction data.

• Familiarity with cloud data warehouses such as Snowflake, BigQuery or Redshift.

• Experiencia o conocimientos en marketing analytics, consumer insights o market measurement.

• Experience creating data tables or views that feed dashboards and recurring reports.

What do we offer?

10 days of PTO so you can disconnect.

US public holidays.

100% remote: work from wherever you are and find the balance that works best for you.

Join international teams and projects, working with professionals from different countries.

Keep developing your SQL, Python and Machine Learning knowledge while working on interesting and impactful projects.