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Junior Data Analyst

365Scores

Tel Aviv-Yafo, Tel Aviv District, IsraelOn Site

Original Job Summary

Overview

365Scores is hiring a Junior Data Analyst to support Entain, one of the world’s largest sports betting and gaming companies renowned for innovation and a global presence. The role focuses on data analysis, insight generation, and creating strategic dashboards.

Responsibilities

  • Perform ad-hoc research and analysis on large, complex datasets.
  • Define, analyze, and monitor KPIs and OKR metrics.
  • Develop dashboards and visualizations for various teams.
  • Conduct qualitative, quantitative, and statistical analysis.
  • Provide actionable recommendations to drive strategic road maps.

Requirements

  • 1-3 years of experience in data analysis or related fields.
  • Strong SQL skills and experience with large datasets.
  • BA/BSc in a quantitative field (Engineering, Economics, Statistics, etc.).
  • Experience with Cloud Data Warehouses (Redshift, BigQuery, or Snowflake).
  • Excellent communication skills and a proactive attitude.

Advantages

  • Experience as a Marketing or Monetization Analyst.
  • Knowledge of user behavior analysis and A/B testing.
  • Familiarity with Python and statistical packages.
  • Experience with BI tools (preferably Power BI or Looker).
  • Passion for sport and tech company culture.

Key Skills/Competency

  • Data Analysis
  • SQL
  • Dashboard
  • Statistics
  • Visualization
  • KPIs
  • Cloud
  • Python
  • Big Data
  • Communication

How to Get Hired at 365Scores

🎯 Tips for Getting Hired

  • Research 365Scores culture: Understand their mission, values, and recent projects.
  • Tailor your resume: Highlight SQL, dashboard, and statistical skills.
  • Showcase relevant experience: Emphasize ad-hoc research and data analytics projects.
  • Prepare real examples: Be ready to discuss data challenges and solutions.

📝 Interview Preparation Advice

Technical Preparation

Review SQL queries and data structures.
Practice building dashboards using BI tools.
Study statistical analysis and modeling techniques.
Familiarize with cloud data warehouse platforms.

Behavioral Questions

Describe a complex data problem you solved.
Discuss effective cross-team communication examples.
Explain handling tight deadlines under pressure.
Share a proactive problem-solving experience.