Remote ML Data Analyst — Predictive Analytics & Insights

Dlocal Llp

Rosario

Remote

ARS 54,089,000 - 92,724,000

Full time

5 days ago
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Benefits offered by this job

10 days PTO
USA Holidays
100% remote work

Job summary

Prometeo Talent seeks a Data Analyst (Machine Learning) to join a U.S.-based client's team working with large-scale consumer and retail datasets. You will translate raw data into actionable metrics, build ML models, and deliver clear summaries to stakeholders in English.

The role emphasizes SQL, Python, and a strong numbers sense, with opportunities across a range of experience levels from recent graduates to mid-level analysts looking to deepen data manipulation skills.

Qualifications

  • 0 to 4 years of experience in Data Analysis or similar roles, entry-level to mid-level welcome with relevant coursework or internships.
  • Advanced English (written and spoken).
  • Foundational to intermediate SQL with complex JOINs, aggregations, and CASE WHEN.
  • Python scripting for data cleaning and processing, proficient with pandas for transformations.
  • Familiarity with modeling libraries like scikit-learn or statsmodels to build predictive models.
  • Experience cleaning, parsing, and pattern matching in messy text fields.
  • Strong understanding of relational database design and data normalization.
  • Bachelor's degree in business analytics, statistics, mathematics, CS, economics, marketing, or related field.

Responsibilities

  • Write, optimize, and execute SQL queries to extract data from relational databases and cloud warehouses.
  • Develop, run, and validate machine learning, predictive, or statistical matching models.
  • Slice, unpivot, and aggregate raw data to compute core metrics like market share and trends.
  • Build and maintain clean data tables and views for recurring tracking reports and dashboards.
  • Review outputs, audit data, and ensure accuracy before insights are shared.
  • Use conditional logic to segment data and isolate tracking cohorts.
  • Clean, parse, and categorize unstructured or semi-structured data.
  • Translate technical results into clear summaries for stakeholders in English.
  • Collaborate with international teams and stakeholders on data-driven projects.

Skills

SQL
Python
English
Data manipulation

Education

Bachelor's degree in relevant field

Tools

Pandas
Scikit-learn

Job description

Prometeo Talent seeks a Data Analyst (Machine Learning) to join a U.S.-based client's team working with large-scale consumer and retail datasets. You will translate raw data into actionable metrics, build ML models, and deliver clear summaries to stakeholders in English.

The role emphasizes SQL, Python, and a strong numbers sense, with opportunities across a range of experience levels from recent graduates to mid-level analysts looking to deepen data manipulation skills.

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