Data Analyst

Gzira, Malta

Data analyst job description template


Full-time / Malta

EnergyCasino is currently looking for an experienced Data Analyst to join our team and make waves in the industry.

Key Responsibilities:

  • Maintaining and improving current reporting structure.
  • Creating new reports either ad hoc or on a regular basis.
  • Updating existing reports as well as creating new ones according to business requirements.
  • Supporting data analysis and reporting of promotions.
  • Assisting with scheduling, forecasting and workforce management through data analysis.
  • Data warehouse maintenance and administration.
  • Power BI systems maintenance and administration.
  • Executing any additional work that may be handed by Management reasonably within the overall function of the job.

Key Competencies:

  • A Bachelor’s Degree in Mathematics, Computer Science, Statistics or Economics.
  • Experience in data models and reporting packages.
  • Ability to analyse large datasets.
  • Ability to write comprehensive reports.
  • Strong verbal and written communication skills.
  • An analystical mind and inclination for problem solving.
  • Fluency (both spoken and written) in English. Additional languages would be considered an asset.
  • Ability to work independently and quickly to produce high quality work requiring minimal oversight or correction.
  • Demonstrate a high level of attention to detail.
  • Ability to multi-task and to work in an efficient way.
  • Previous experience in the iGaming industry is an advantage.

What we offer:

We look for accountable and reliable candidates who are drivers of change within this industry, who look for a challenge and work well within a team environment.

As a company we in turn pride ourselves in offering more than just a 'job'. We offer a space for learning, career development and an environment whereby every person has a voice.

If this is what you are looking for, we look forward to receiving your CV!

Tell your friends about this position

Personal information
Professional data