BI Analyst
Description
About us:
Pragmatic Play is a leading game developer providing player-favourites to the most successful global brands in the iGaming industry.
Powering up new possibilities of play through one single API, Pragmatic Play offers a multi-product portfolio of award-winning slots, live casino, bingo, virtual sports, sportsbook and more, available in all major regulated markets, languages and currencies.
Driven by a persistence to craft immersive experiences and responsible thrills, Pragmatic Play's global team consistently deliver best-in-class services with a dedication to create games that players love time and time again.
- Collect, analyze, and interpret complex data sets from various sources to identify patterns and opportunities, and provide insightful recommendations to both internal teams and clients;
- Collaborate with the data warehouse team to design, develop, and optimize data models that support efficient reporting and analysis;
- Develop and maintain reports and dashboards using Tableau and/or Power BI to provide actionable insights to internal stakeholders and clients;
- Work closely with stakeholders to understand their reporting requirements and translate them into effective data visualizations and reports;
- Collaborate with external clients to understand their reporting requirements and translate them into solutions;
- Stay updated with industry trends and best practices in BI and data visualization techniques to continuously enhance reporting capabilities and deliver innovative solutions.
- Bachelor's degree in Computer Science, Statistics, Business, or a related field;
- Proven experience as a Business Intelligence Analyst or similar role within the iGaming industry, preferably in B2B environment;
- Proficient in Tableau or Power BI for report and dashboard development;
- Strong SQL skills with the ability to write complex queries for data analysis and manipulation;
- Solid understanding of data modeling concepts and data warehouse architecture;
- Exceptional analytical and problem-solving abilities with a keen eye for detail;
- Python knowledge and experience working with Google Analytics is desirable;
- Strong organizational and time management skills, with the ability to handle multiple projects and prioritize tasks effectively;
- Ability to work collaboratively in a fast-paced and dynamic environment.