iGaming Business Intelligence Analyst

JOB SUMMARY

The iGaming Business Intelligence Analyst plays a pivotal role within our organization, working closely under the direct supervision of the iGaming BI Supervisor. This role involves collecting, organizing, and interpreting statistical information relating to the iGaming market in the Philippines to empower both internal colleagues and external clients in making informed decisions.

DUTIES AND RESPONSIBILITIES

1. Interpret data, analyze results using statistical techniques and provide ongoing reports.
2. Acquire data from primary or secondary data sources and maintain databases/data systems.
3. Identify, analyze, and interpret trends or patterns in complex data sets.
4. Enhances data collection procedures for building analytical systems.
5. Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
6. Work with management to prioritize business and information needs.
7. Work closely with other departments and use the data to help them make informed decisions.
8. Consistently monitor and review the iGaming landscape in the Philippines and stay up to date with the latest Products in the marketplace.
9. Locate and define new process improvement opportunities.
10. Performs other functions and acts that may be assigned from time to time as the business requires.

JOB COMPETENCIES

1. At least 4 years of work experience in the related field is required for this position.
2. A high level of mathematical ability.
3. Experience in a similar role within an iGaming company and/or strong Casino & Sports product knowledge is highly desirable.
4. Problem-solving skills with an inquisitive mindset to spot trends in the marketplace.
5. A methodical and logical approach.
6. Accuracy and attention to detail.
7. The ability to plan work and meet deadlines.
8. Ability to work in a dynamic work environment.
9. An understanding of the ethics of gathering and working with data.
10. Technical expertise in data models, database design development, data mining, and segmentation techniques.
11. Ideally has knowledge of AI software and products and experience of using and maintaining these.
12. Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL, etc.), and programming (XML, JavaScript, or ETL frameworks).
13. Proficiency in Microsoft office application (Excel, Word, PowerPoint, Power BI, etc.)
14. Knowledge of statistics and experience using statistical packages for analyzing datasets.
15. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.