Data Analyst: Insights & Visualization in Porto

EventMakers Entertainment

Porto

On-site

EUR 12,000 - 14,000

Full time

14 days+

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Job summary

EventMakers Entertainment in Porto, Portugal is seeking a Data Analyst to collect, organize, and analyze large datasets to identify trends and support business decisions. You will work with multiple teams to understand data needs and deliver insights.

The role requires strong analytical skills, attention to detail, and the ability to think critically. Proficiency in SQL, Excel, R/Python, and data visualization tools is expected.

Qualifications

  • Bachelor's degree in data science, statistics, math, or related field.
  • Proven experience as a Data Analyst or similar role.
  • Strong analytical skills with ability to interpret data.
  • Proficiency in SQL and Microsoft Excel.
  • Experience with R or Python and data visualization with Tableau.
  • Excellent communication and presentation skills.
  • Attention to detail and accuracy.
  • Ability to work independently and collaboratively.
  • Knowledge of database design principles.
  • Familiarity with data visualization tools.

Responsibilities

  • Collect and organize data from various sources
  • Use statistical methods to analyze data sets
  • Identify patterns and trends in the data
  • Create reports and visualizations to present findings
  • Collaborate with teams to understand data needs
  • Provide recommendations based on data analysis
  • Monitor data quality and accuracy
  • Stay updated on industry trends and best practices in data analysis

Skills

SQL
Excel
Analytical thinking
Communication
Independent worker
Team collaboration

Education

Bachelor's degree in Data Science, Statistics, Mathematics, or related field

Tools

R
Python
Tableau

Job description

EventMakers Entertainment in Porto, Portugal is seeking a Data Analyst to collect, organize, and analyze large datasets to identify trends and support business decisions. You will work with multiple teams to understand data needs and deliver insights.

The role requires strong analytical skills, attention to detail, and the ability to think critically. Proficiency in SQL, Excel, R/Python, and data visualization tools is expected.

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