Remote ML Data Analyst - SQL, Python & Insights

Anyone Ai Inc.; La Pampa; Remote; ARS 53,009,000 - 98,446,000; Full time

Job summary

Anyone Ai Inc. is seeking a Data Analyst (Machine Learning) to join a global team and work remotely across LATAM. The role centers on turning large consumer and retail datasets into actionable metrics using SQL, Python, and ML techniques.

The ideal candidate is comfortable translating technical results into clear summaries for stakeholders in English, with experience ranging from recent graduates to mid-level analysts seeking deeper data manipulation skills.

Qualifications

• 0–4 years of experience in Data Analysis or related roles.
• Advanced English (written and spoken).
• Foundational to intermediate SQL with JOINs, aggregations, and CASE WHEN.
• Python for data cleaning and processing, with pandas for transformations.
• Familiarity with modeling libraries such as scikit-learn or statsmodels.
• Experience cleaning and parsing text data.
• Understanding of relational DB design and keys.
• Bachelor's degree in a related field with quantitative coursework.

Responsibilities

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.
• Develop, run, and validate ML or statistical models to uncover behaviors and forecast trends.
• Slice, unpivot, and aggregate data to calculate core business metrics such as market share and purchasing trends.
• Build and maintain clean data tables and views for reports and dashboards.
• Translate technical results into clear summaries for stakeholders in English.

Skills

Analytical mindset

English proficiency

Data storytelling

Education

Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or related field

Tools

SQL

Python (pandas)

scikit-learn

Statsmodels

Job description

Anyone Ai Inc. is seeking a Data Analyst (Machine Learning) to join a global team and work remotely across LATAM. The role centers on turning large consumer and retail datasets into actionable metrics using SQL, Python, and ML techniques.

The ideal candidate is comfortable translating technical results into clear summaries for stakeholders in English, with experience ranging from recent graduates to mid-level analysts seeking deeper data manipulation skills.