Remote ML Analyst — Data Insights & Modeling

Ryz Labs; La Pampa; Remote; ARS 72.699.000 - 109.048.000; Vollzeit

Benefits dieser Stelle

10 days PTO

USA Holidays

100% remote work

Zusammenfassung

Prometeo Talent seeks a Data Analyst (Machine Learning) to join a US-based client focused on marketing effectiveness measurement. You will turn large consumer and retail datasets into actionable metrics, bridging data and business strategy with strong SQL and Python skills and clear stakeholder reporting in English.

The role welcomes a range of experience levels, from recent graduates with quantitative coursework to mid-level analysts building technical data manipulation skills, all contributing

Qualifikationen

• Solid SQL and Python skills with focus on data manipulation.
• Strong English communication for stakeholder summaries.
• Bachelor’s degree and coursework in analytics or related field.

Aufgaben

• 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 models.
• Slice, unpivot, and aggregate data to calculate core metrics like market share and trends.
• Build and maintain clean data tables and dashboards for stakeholders.
• Review outputs, audit data, and ensure data integrity before insights.
• Segment data with conditional logic to isolate cohorts.
• Parse and categorize unstructured text data.
• Translate results into clear summaries for English-speaking stakeholders.

Kenntnisse

SQL

Python

English

Data analysis

ML basics

Ausbildung

Bachelor's degree in Business Analytics

Jobbeschreibung

Prometeo Talent seeks a Data Analyst (Machine Learning) to join a US-based client focused on marketing effectiveness measurement. You will turn large consumer and retail datasets into actionable metrics, bridging data and business strategy with strong SQL and Python skills and clear stakeholder reporting in English.

The role welcomes a range of experience levels, from recent graduates with quantitative coursework to mid-level analysts building technical data manipulation skills, all contributing