Data Visualization & Analytics Consultant

AlixPartners GmbH; Buenos Aires; Hybrid; ARS 1,200,000 - 2,400,000; Full time

Job summary

AlixPartners is seeking a data professional to join our team in Argentina, focusing on ETL workflows, data modeling, and advanced analytics. You will work with executives and clients to deliver measurable data-driven outcomes across complex challenges.

The role involves building automated data pipelines, analyzing multiple databases, and presenting insights through dashboards. Travel may be required; hybrid office/remote work is possible.

Qualifications

• Bachelor’s degree in Computer Science or a quantitative field.
• Data-oriented mindset with ability to analyze large datasets.
• 1+ year of related experience.
• Knowledge of Python/JavaScript/C# or similar.
• Experience with ETL tools such as Alteryx, KNIME, SSIS, Pentaho, or DataStage.
• Comfort with cloud and on-premise big data architectures (AWS/Azure and others).
• SQL skills including CTEs and window functions.
• Ability to apply statistical learning to build predictive models.
• Strong communication in English.

Responsibilities

• Create ETL workflows, scripts, statistical models, and visualizations.
• Design, build, test, and support data migration and cleansing processes.
• Develop and maintain robust ETL processes and data models.
• Analyze legacy code to understand data processing rules.
• Build dashboards with Tableau and Power BI for executives.
• Collaborate with clients and stakeholders to provide insights.

Skills

Data analysis

Communication skills

English proficiency

Education

Bachelor's degree in Computer Science or related field

Tools

Tableau

Power BI

SQL

Python

Alteryx

KNIME

SSIS

Pentaho

DataStage

Job description

AlixPartners is seeking a data professional to join our team in Argentina, focusing on ETL workflows, data modeling, and advanced analytics. You will work with executives and clients to deliver measurable data-driven outcomes across complex challenges.

The role involves building automated data pipelines, analyzing multiple databases, and presenting insights through dashboards. Travel may be required; hybrid office/remote work is possible.