Remote ML Data Analyst — SQL, Python & Insights

Anyone Ai Inc.; Rosario; Remote; ARS 68.155.000 - 113.592.000; Vollzeit

Benefits dieser Stelle

10 days PTO

USA holidays

100% remote

Global teams

Impactful projects

Zusammenfassung

Anyone Ai Inc. is seeking a Machine Learning Analyst to join a U.S.-based client on a fully remote LATAM-friendly basis.

You will work with large consumer and retail datasets, turning raw data into actionable metrics and clear business insights. Ideal candidates bring solid SQL and Python skills, a strong numbers sense, attention to detail, and the ability to translate results into stakeholder-friendly summaries in English.

Qualifikationen

• 0 to 4 years of experience in Data Analysis or similar roles.
• Advanced English (written and spoken).
• Strong SQL skills with JOINs and aggregations.
• Python for data cleaning and transformation, with pandas.
• Familiarity with ML libraries for predictive modeling optional.
• Experience handling messy text fields and data normalization.

Aufgaben

• Write, optimize, and execute SQL queries on relational databases and cloud warehouses.
• Develop and validate machine learning or statistical models to forecast trends.
• Slice and aggregate raw data to calculate key metrics like market share and penetration.
• Create and maintain clean data tables and dashboards for stakeholders.
• Audit outputs and ensure data integrity before delivering insights.
• Segment data with conditional logic and parse unstructured text.
• Translate data structures into clear summaries for English-speaking stakeholders.

Kenntnisse

SQL

Python

Pandas

English

Data analysis

ML basics

Ausbildung

Bachelor's degree in analytics / related field

Tools

Snowflake

BigQuery

Redshift

Jobbeschreibung

Anyone Ai Inc. is seeking a Machine Learning Analyst to join a U.S.-based client on a fully remote LATAM-friendly basis.

You will work with large consumer and retail datasets, turning raw data into actionable metrics and clear business insights. Ideal candidates bring solid SQL and Python skills, a strong numbers sense, attention to detail, and the ability to translate results into stakeholder-friendly summaries in English.