Overview

We are seeking a skilled Data Analyst to join our team! In this role, you will analyze large datasets, create data-driven reports, and provide valuable insights to support business decision-making. You will work with SQL, Python, or Power BI, build data visualizations, and optimize analytical models to drive efficiency and performance.

Responsibilities:
  • Collect, process, and analyze large datasets to uncover meaningful insights.
  • Develop data models and reports to support decision-making across departments.
  • Utilize SQL, Python, or Power BI for querying, transforming, and analyzing data.
  • Build and maintain interactive dashboards using Tableau, Power BI, or Looker.
  • Conduct trend analysis, forecasting, and predictive modeling to identify business opportunities.
  • Perform A/B testing and statistical analysis to optimize strategies.
  • Ensure data integrity and quality across different data sources.
  • Present data findings in a clear and actionable manner to stakeholders.
  • Support CRM-related administrative tasks, including bonus scheduling and back-office coordination.
Required Qualifications:
  • Proficiency in SQL (MySQL, PostgreSQL, SQL Server) for data extraction and manipulation
  • Experience with Power BI for statistical analysis and data processing
  • Strong skills in data visualization (Power BI)
  • Advanced Excel & Google Sheets (Pivot Tables, Macros, Advanced Formulas)
  • Solid understanding of statistical analysis and data modeling
  • Strong problem-solving, analytical thinking, and attention to detail
  • Ability to translate complex data into actionable insights for non-technical audiences
  • Bachelor’s degree (or equivalent) in mathematics, computer science, economics, or statistics
  • 2+ years of work experience as a data analyst or in a related field
Nice To Have:
  • Experience in the iGaming industry
  • Experience with Python
  • SQL
  • Power BI
  • MS Excel
Technologies:
  • SQL
  • MySQL
  • PostgreSQL
  • SQL Server
  • Power BI
  • Python
  • Tableau
  • Looker
  • Excel
  • Google Sheets
Note:

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