Part-Time Data Analyst — Insights & Reporting

Want More; Funchal; On-site; EUR 12,000 - 16,000; Part time

Job summary

Want More in Funchal, Portugal is seeking a part-time Data Analyst to collect, clean, and analyze data and deliver actionable insights for the business. You will create reports and visualizations to communicate findings to stakeholders, supporting data-driven decisions.

You will collaborate with cross-functional teams, monitor data quality, and stay up-to-date with industry trends and best practices. A strong foundation in statistics and analytics is required.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science or related field.
• Proven experience as a Data Analyst or similar role.
• Strong analytical skills with the ability to interpret complex datasets.
• Proficient in SQL, Excel, and other statistical software.
• Knowledge of programming languages such as Python or R is a plus.
• Excellent communication skills with the ability to present technical information to non-technical stakeholders.

Responsibilities

• Collect data from various sources and perform data cleaning and manipulation to ensure accuracy.
• Analyze data using statistical methods and tools to identify patterns, trends, and correlations.
• Create reports and visualizations to present findings in a clear and concise manner.
• Collaborate with cross-functional teams to identify business needs and develop data-driven solutions.
• Continuously monitor data quality and identify opportunities for improvement.
• Stay updated with industry trends and best practices in data analysis.

Skills

Strong analytical skills

Education

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

Tools

SQL

Excel

Python

R

Job description

Want More in Funchal, Portugal is seeking a part-time Data Analyst to collect, clean, and analyze data and deliver actionable insights for the business. You will create reports and visualizations to communicate findings to stakeholders, supporting data-driven decisions.

You will collaborate with cross-functional teams, monitor data quality, and stay up-to-date with industry trends and best practices. A strong foundation in statistics and analytics is required.