Remote ML Data Analyst — SQL & Python Insights

Lever, Inc.; Tandil; A distancia; ARS 60.812.000 - 106.422.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

USA holidays

PTO 10 days

Descripción de la vacante

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a US-based client focused on marketing effectiveness measurement. The role targets handling large-scale consumer and retail data, combining SQL and Python with ML techniques to drive business insights.

Ideal candidates have strong numeracy, attention to detail, and can translate results into clear English summaries for stakeholders. All levels encouraged to apply, from recent graduates to mid-level analysts.

Formación

• 0 to 4 years of Data Analysis experience.
• Advanced English (written and spoken).
• Foundational to intermediate SQL skills with JOINs, aggregations, and CASE WHEN.
• Python for data cleaning and processing; proficient with pandas.
• Experience with modeling libraries such as scikit-learn or statsmodels.

Responsabilidades

• Write, optimize, and run SQL queries to extract data from relational databases and cloud data warehouses.
• Develop and validate machine learning or statistical models to uncover consumer behaviors and forecast trends.
• Slice and aggregate raw data to compute core metrics like market share and purchasing trends.
• Build and maintain clean data tables and views for recurring reports and dashboards.
• Review outputs for accuracy and data integrity before sharing insights.
• Segment data using conditional logic to isolate tracking cohorts.
• Parse and categorize unstructured text data for analyses.
• Translate technical results into clear summaries for English-speaking stakeholders.

Conocimientos

SQL

Python

Pandas

English proficiency

Numbers sense

Data analysis

Educación

BSc in Business Analytics / Statistics / Mathematics / CS / Economics

Herramientas

scikit-learn

Descripción del empleo

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a US-based client focused on marketing effectiveness measurement. The role targets handling large-scale consumer and retail data, combining SQL and Python with ML techniques to drive business insights.

Ideal candidates have strong numeracy, attention to detail, and can translate results into clear English summaries for stakeholders. All levels encouraged to apply, from recent graduates to mid-level analysts.