Part-Time Data Analyst: Insights, Reports & Dashboards

Family Assist

Faro

Presencial

EUR 14 000 - 16 000

Tempo parcial

14 dias+

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Resumo da oferta

Family Assist in Faro, Portugal, is seeking a part-time Data Analyst to collect, clean, and analyze data from diverse sources. The role involves creating reports and visualizations to communicate insights to the team and support data-driven decisions.

You will work on multiple projects, independently managing tasks with tight deadlines. A bachelor’s degree in a data-related field and proficiency in SQL/Excel are required; knowledge of R or Python is preferred.

Qualificações

  • Bachelor's degree in a data-related field or equivalent experience.
  • Strong ability to collect, organize, and analyze large data sets.
  • Experience with SQL and Excel; comfort with writing complex queries.
  • Familiarity with R or Python for statistical analysis.
  • Excellent analytical skills and attention to detail.

Responsabilidades

  • Collect data from databases, spreadsheets, and surveys.
  • Clean and organize data to ensure accuracy.
  • Analyze data using statistical methods and tools.
  • Identify patterns and trends; communicate findings through reports.
  • Create reports and visualizations to support data-driven decisions.
  • Collaborate with team to understand business needs and provide insights.
  • Monitor data quality and propose improvements.

Conhecimentos

SQL
Excel
Data analytics
Statistical methods
Attention to detail

Formação académica

Bachelor's in Data Analytics

Ferramentas

R
Python

Descrição da oferta de emprego

Family Assist in Faro, Portugal, is seeking a part-time Data Analyst to collect, clean, and analyze data from diverse sources. The role involves creating reports and visualizations to communicate insights to the team and support data-driven decisions.

You will work on multiple projects, independently managing tasks with tight deadlines. A bachelor’s degree in a data-related field and proficiency in SQL/Excel are required; knowledge of R or Python is preferred.

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