Data Analyst - Sports Data and Betting Markets
Data Analyst - Sports Data and Betting Markets
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
ABOUT US:
Were looking to expand our Betting Entertainment Tools team in Ljubljana. Youll 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 youll 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 datadriven decisionmaking and continuously refine our analytical capabilities to enhance product performance. If you have a passion for sports enjoy working with realtime tracking data and love uncovering patterns in hightech sports datasets this role is for you.
THE CHALLENGE:
- Analyze sports and betting market data sources with a strong focus on realtime 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 indepth analysis of data flows latency issues and optimization opportunities.
- Work with realtime 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 datadriven 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 realtime data processing and streaming technologies (Kafka etc..
- Strong problemsolving 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 fastgrowing 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.
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!
Additional Information :
At Sportradar we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs facilities and employment opportunities. All qualified applicants will receive consideration for employment without regard to age race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100 of the listed criteria) we believe skills evolve over time. If youre willing to learn and grow with us we invite you to join our team!
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
