Senior Data Analyst / Data Scientist at FE International
Venado Tuerto, Santa Fe, Argentina -
Full Time


Start Date

Immediate

Expiry Date

19 Jun, 25

Salary

0.0

Posted On

20 Mar, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Version Control, Looker, Data Analytics, Tableau, Python, Data Manipulation, Power Bi, Git, Big Data, R, Sql, Data Visualization, Snowflake, Learning Techniques, Machine Learning, Cloud, Business Intelligence, Azure, Data Processing, Query Optimization, Aws, Data Science

Industry

Information Technology/IT

Description

JOB OVERVIEW:

We are seeking a Senior Data Analyst and Data Scientist to join our team and drive data-driven decision-making by building scalable data pipelines, designing robust reporting solutions, and developing advanced predictive models. This role will focus on transforming complex data into actionable insights while also leveraging machine learning techniques to support business growth.

EXPERIENCE:

  • 5+ years of experience in data analytics, business intelligence (BI), or data science.
  • Experience building ETL pipelines and working with data warehouses (Snowflake, Redshift, BigQuery, or similar).
  • Strong expertise in SQL (complex queries, window functions, performance tuning).
  • Advanced proficiency in Python or R for data manipulation, analysis, and ML development.
  • Experience with machine learning techniques, model training, and deployment workflows.
  • Hands-on experience with dashboard development (Tableau, Power BI, Looker).

TECHNICAL SKILLS:

  • Data Processing: Advanced SQL for query optimization and data manipulation.
  • ETL Development: Experience with data pipeline orchestration tools (e.g., Airflow, dbt, Prefect).
  • Machine Learning: Experience with scikit-learn, TensorFlow, PyTorch, or similar frameworks.
  • Data Visualization: Strong expertise in BI tools (Tableau, Power BI, Looker).
  • Cloud & Big Data: Knowledge of AWS, GCP, or Azure, including serverless data processing.
  • Version Control: Familiarity with Git and best practices in code management.
Responsibilities

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