Mid/Senior Data Analyst

About this role

Objectives of this role

Develop, implement, and maintain reports taking complicated problems and building simple frameworks

Translate business questions into reports and dashboards

Identify trends and opportunities for growth through data analysis

Help internal stakeholders make data driven decisions

Work directly with managers and users to gather requirements, provide status updates, and build relationships

Responsibilities

Work closely with internal stakeholders to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers

• Create and maintain daily, weekly and monthly reports as well as dashboards through data interpretation and analysis, with reporting components from multiple data sources

Proactively analyse data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity

Required skills and qualifications

• Previous experience in a similar role that required reporting, financial analysis or statistical analysis
• Previous experience in iGaming or Affiliate Marketing is a plus
• Great English communication skills, both written and verbal
• Should be curious, data-driven, and numerically inclined
• Proven analytics skills, with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Proficiency Excel and Google Sheets skills, with an aptitude for learning other analytics tools
• Strong organization skills, attention to detail and ability to work independently with minimal supervision.
• A curious, problem-solving mindset with a passion for working with numbers and data.

Preferred skills and qualifications

• Bachelor’s degree (or equivalent) in economics, statistics, marketing, mathematics or computer science
• Practical experience in data analysis through the use of statistical packages, including Excel and Google Sheets
• Familiarity with data visualization tools like Power BI, Tableau, or Google Data Studio is an advantage
• Basic experience with SQL or other database query languages is a plus.
• Proven success in a collaborative, team-oriented environment