Junior Data Analyst
@ Scenari Srl

Greater Naples Metropolitan Area
€20,000
On Site
Intern
Posted 22 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXXX****** @scenari.it
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Job Details

Overview

Scenari S.R.L. is looking for a Junior Data Analyst / Sociologist for a paid internship in their team. The candidate will contribute to data collection, analysis and interpretation to support research projects and reporting for public and private clients.

Responsibilities

  • Support data analysis and social research activities.
  • Conduct statistical elaborations and ad hoc analyses on quantitative datasets.
  • Assist in drafting reports and presenting results.
  • Create visualizations and tables to communicate data.

Requirements

  • Bachelor's or Master’s degree in Sociology, Statistics, or related fields.
  • Good knowledge of Microsoft Office, especially Excel.
  • Preferably familiar with SPSS or other statistical analysis software.
  • Interest in social research, data analysis, and result communication.

What We Offer

  • Paid internship with real opportunities for learning and professional growth.
  • Guidance from a team of data research experts.
  • A dynamic, collaborative, and innovative work environment.
  • Opportunity to participate in nationally significant research projects.

Key Skills/Competency

  • Data Analysis
  • Social Research
  • Statistical Analysis
  • Excel
  • SPSS
  • Reporting
  • Visualization
  • Interpretation
  • Collaboration
  • Communication
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How to Get Hired at Scenari Srl

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant data and research skills.
  • Showcase your projects: Include examples of data analysis work.
  • Prepare for interviews: Review social research methodologies.
  • Research Scenari Srl: Understand their projects and culture.

📝 Interview Preparation Advice

Technical Preparation

Practice Excel functions and formulas.
Familiarize with SPSS software basics.
Review statistical analysis methods.
Analyze sample quantitative datasets.

Behavioral Questions

Describe a data project challenge.
Explain teamwork in research tasks.
Discuss handling tight deadlines.
Share learning from past mistakes.

Frequently Asked Questions