About Us

We’re looking to expand our Betting Entertainment Tools team in Ljubljana. You’ll be joining a dedicated and closely connected team that specializes in market leading betting solutions integrated, by more than 400 clients and reaching hundreds of millions of sport fans and punters globally.

As a Data Analyst, you’ll work closely with product owners and development teams to analyze sports and betting market data sources. Your primary focus will be understanding data points, assessing data latency, and providing insights that drive our product decisions.

We thrive on data-driven decision-making and continuously refine our analytical capabilities to enhance product performance. If you have a passion for sports, enjoy working with real-time tracking data, and love uncovering patterns in high-tech sports datasets, this role is for you.

THE CHALLENGE:

• Analyze sports and betting market data sources, with a strong focus on real-time tracking data and low latency data streams.
• Evaluate data points, data accuracy, and data latency to ensure timely and reliable information.
• Collaborate with product owners to translate data findings into actionable product improvements.
• Support development teams by providing in-depth analysis of data flows, latency issues, and optimization opportunities.
• Work with real-time sports tracking data, player performance metrics, and advanced analytics to enhance product insights.
• Develop and maintain reports, dashboards, and other visualizations to track key performance metrics.
• Identify trends, anomalies, and opportunities within sports and betting datasets.
• Ensure data integrity, consistency, and completeness across multiple sources.
• Stay up to date with the latest sports analytics, data technologies, and industry trends.

About You

• Passion for sports and a deep understanding of how data is used in sports analytics and betting markets.
• Experience in data analysis, preferably in sports betting, gaming, or a related data-driven industry.
• Proficiency in SQL for querying large datasets.
• Familiarity with data visualization tools (e.g. Power BI).
• Basic coding and scripting skills which can be applied in data analysis and automation is a plus.
• Understanding of real-time data processing and streaming technologies (Kafka, etc.).
• Strong problem-solving skills and an analytical mindset.

OUR OFFER: 

• A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US).  
• Ability to shape your own workday and career via a clearly defined professional and personal development plan. 
• Opportunity to work with senior leadership, develop yourself and build your career within an inspiring and fast-growing company and digital sports environment. 
• Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. 
• Flexible working hours.
• New office with several additional 

  Benefits

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OUR RECRUITMENT PROCESS: 

• Initial Screening: A quick chat with out Talent Acquisition Partner to better understand your background and expectations.
• Hiring manager Interview: First meeting with the Hiring Manager, to further discuss your background and the position.
• Technical Interview: Technical assessment with the wider team and checking the cultural fit.
• Final Steps: Receive feedback and if successful, an offer!