Remote Data Analyst (ML): Market Insights & Forecasts

The Walt Disney Company; Tandil; Remote; ARS 77,270,000 - 154,540,000; Full time

Benefits offered by this job

10 days PTO

USA Holidays

100% remote

Collaboration with international teams

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focused on marketing effectiveness measurement. The role involves handling large-scale consumer and retail data, turning raw data into actionable metrics, and communicating results in clear English.

The ideal candidate possesses solid SQL and Python skills, a strong numbers sense, and attention to detail. Open to recent graduates through mid-level analysts with relevant coursework or internships.

Qualifications

• 0–4 years in Data Analysis or related roles, with coursework or internships encouraged
• Advanced English (written and spoken)
• Foundational to intermediate SQL with JOINs, aggregations, and CASE WHEN
• Python for data cleaning and transformations, including pandas
• Familiarity with scikit-learn or statsmodels for predictive modeling
• Experience cleaning and parsing messy text data
• Bachelor's degree in a quantitative field with data analysis focus

Responsibilities

• Write, optimize, and execute SQL queries against relational databases and cloud warehouses.
• Develop and validate machine learning, predictive, or statistical matching models.
• Slice and aggregate data to compute metrics like market share and trends.
• Build and maintain clean data tables and views for dashboards.
• Review outputs for accuracy and data integrity before insights.
• Use logic to segment data and define tracking cohorts.
• Clean, parse, and categorize unstructured text data.
• Translate results into clear English summaries for stakeholders.

Skills

SQL

Python

Pandas

English (Advanced)

Education

Bachelor's degree (related field)

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focused on marketing effectiveness measurement. The role involves handling large-scale consumer and retail data, turning raw data into actionable metrics, and communicating results in clear English.

The ideal candidate possesses solid SQL and Python skills, a strong numbers sense, and attention to detail. Open to recent graduates through mid-level analysts with relevant coursework or internships.