Senior Data Analyst - SQL & Insights Leader

Muttdata

Santa Fe Capital

Remote

ARS 600,000 - 900,000

Full time

6 days ago
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Job summary

Prometeo Talent in the Americas and Europe is seeking a Data Analyst for our US-based client focused on marketing effectiveness. Open to recent graduates and early-career professionals who enjoy working with data, querying and transforming large datasets to generate actionable insights for clients and internal stakeholders.

You will extract, query with SQL, analyze consumer and retail data, build structured datasets for recurring reports, and translate findings into clear recommendations.

Qualifications

  • 0–4 years of experience in Data Analytics or BI.
  • Advanced English, both written and spoken.
  • Strong SQL skills with joins, grouping, and filtering.

Responsibilities

  • Extract, query, and manipulate data using SQL from relational databases and cloud data warehouses.
  • Analyze large transactional and consumer datasets to identify trends, patterns, and business insights.
  • Build and maintain structured datasets that support recurring reports and business analyses.
  • Calculate key business metrics such as household penetration, market share, purchasing behavior, and category trends.
  • Work with raw and semi-structured data, cleaning and categorizing information as needed.
  • Validate data outputs and perform quality checks to ensure data accuracy and integrity.
  • Collaborate with internal teams to support reporting needs and answer business questions through data.
  • Translate complex datasets into clear findings and recommendations.

Skills

SQL
English

Job description

Prometeo Talent in the Americas and Europe is seeking a Data Analyst for our US-based client focused on marketing effectiveness. Open to recent graduates and early-career professionals who enjoy working with data, querying and transforming large datasets to generate actionable insights for clients and internal stakeholders.

You will extract, query with SQL, analyze consumer and retail data, build structured datasets for recurring reports, and translate findings into clear recommendations.

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