Remote opportunity at
Prometeo TalentMachine Learning Analyst | 100% Remote | LATAM
Prometeo Talent seeks a Machine Learning Analyst on behalf of a United States-based enterprise that specializes in measuring marketing effectiveness. The hiring company assists organizations in…
Career Tools
About This Role
Prometeo Talent seeks a Machine Learning Analyst on behalf of a United States-based enterprise that specializes in measuring marketing effectiveness. The hiring company assists organizations in evaluating brand performance, consumer behavior, market dynamics, and purchasing patterns through data-driven insights. This 100% remote position is structured for analytical professionals who enjoy processing large-scale consumer and retail datasets, connecting complex database frameworks with business strategies, and converting raw behavioral records into actionable…
Job Description
Prometeo Talent seeks a Machine Learning Analyst on behalf of a United States-based enterprise that specializes in measuring marketing effectiveness. The hiring company assists organizations in evaluating brand performance, consumer behavior, market dynamics, and purchasing patterns through data-driven insights. This 100% remote position is structured for analytical professionals who enjoy processing large-scale consumer and retail datasets, connecting complex database frameworks with business strategies, and converting raw behavioral records into actionable metrics. The role suits individuals ranging from recent graduates with robust quantitative backgrounds to mid-level analysts aiming to advance their data manipulation capabilities.
Responsibilities
- Write, optimize, and execute SQL queries to pull data from cloud data warehouses and relational databases
- Develop, execute, and validate statistical matching, predictive, or machine learning models to identify consumer habits and forecast trends
- Process and aggregate raw panel or transactional data to compute key performance metrics such as market share and household penetration
- Construct and maintain structured data views and tables for recurring stakeholder dashboards and tracking reports
- Audit information, audit query outputs, and verify logic to guarantee accuracy before finalizing insights
- Segment data and isolate specific tracking cohorts using filtering techniques and conditional logic
- Clean, categorize, and parse semi-structured or unstructured text records
- Summarize technical data structures and query outcomes clearly for English-speaking stakeholders
Requirements
- Possess zero to four years of experience in business analytics, data analysis, or comparable fields
- Demonstrate advanced written and spoken English proficiency
- Apply foundational to intermediate SQL abilities, including aggregations, complex joins, and conditional logic
- Utilize Python scripting via pandas for data processing, cleaning, and multi-step transformations
- Familiarity with modeling tools like statsmodels or scikit-learn for building predictive and statistical models
- Work effectively with messy text fields through pattern matching, filtering, cleaning, and parsing string variables
- Understand relational database architecture, encompassing data normalization and primary or foreign keys
Qualifications
- Hold a bachelor's degree in economics, mathematics, statistics, computer science, business analytics, marketing, or a related discipline involving quantitative coursework
- Background working with transactional, retail, consumer, or panel datasets
- Familiarity with cloud data warehouses such as Redshift, Snowflake, or BigQuery
- Previous exposure to market measurement, consumer insights, or marketing analytics settings
- Experience creating data views or tables that support recurring reports and dashboards
Core Skills
Benefits
- Ten days of paid time off
- Observance of USA holidays
- Fully remote work arrangement
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, this role is 100% remote.
What level of experience is required?
The posting is open to candidates with zero to four years of experience in data analysis, business analytics, or related roles, welcoming both recent graduates and mid-level professionals.
What programming languages and tools are needed?
Applicants need SQL skills, Python scripting with pandas, and familiarity with modeling libraries such as scikit-learn or statsmodels.
What benefits are offered?
The job includes ten days of paid time off, time off for USA holidays, and a fully remote work schedule.
What is the salary for this role?
The job posting does not specify a salary.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.