Data Analyst: Turning Data into Clear Insights

BuySphere Retail Staffing

Funchal

On-site

EUR 12,000 - 14,000

Full time

14 days+

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Job summary

BuySphere Retail Staffing in Funchal is seeking a Data Analyst to collect, clean, and analyze large data sets to drive business decisions. Strong skills in SQL and Excel, plus data visualization experience, are required to present insights to stakeholders.

The role collaborates with cross-functional teams, develops data collection improvements, and communicates complex results clearly to non-technical audiences. A Bachelor's degree in a relevant field is preferred.

Qualifications

  • Bachelor's degree in mathematics, statistics, computer science or related field.
  • Strong analytical skills with the ability to interpret complex data sets.
  • Proficiency in SQL and Excel for data manipulation and analysis.
  • Experience with data visualization tools (e.g. Tableau) is a plus.
  • Knowledge of programming languages (e.g. Python) is preferred but not required.
  • Excellent communication skills with the ability to present findings to non-technical stakeholders.

Responsibilities

  • Collect, clean, and organize large sets of data from various sources
  • Analyze data to identify trends, patterns, and insights
  • Create visualizations and reports to present findings to stakeholders
  • Develop methods for improving data collection processes
  • Collaborate with cross-functional teams to understand business needs
  • Communicate complex analysis results in a clear and concise manner

Skills

SQL
Excel
Tableau
Python
Mathematics/Statistics/CS

Education

Bachelor's degree in mathematics, statistics, computer science or related field

Tools

Tableau
Python

Job description

BuySphere Retail Staffing in Funchal is seeking a Data Analyst to collect, clean, and analyze large data sets to drive business decisions. Strong skills in SQL and Excel, plus data visualization experience, are required to present insights to stakeholders.

The role collaborates with cross-functional teams, develops data collection improvements, and communicates complex results clearly to non-technical audiences. A Bachelor's degree in a relevant field is preferred.

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