Data Analyst (Europe) at Sporty Group | Remote EMEA | JobzEG
🏢 Company: [Sporty Group]
📍 Location: Remote
💰 Salary: Competitive
⏳ Type: Full Time
🎓 Experience:+3 years
📂 Category: Remote Job
Job Description:
🚀 Data Analyst (Europe) | Remote
📍 EMEA
🏢 Sporty Group
🕒 Full-Time
🌍 Remote
Sporty Group is looking for a highly analytical Data Analyst to transform massive datasets into actionable business insights. In this role, you'll work closely with product, marketing, and business teams, build dashboards used by key decision-makers, and help shape data-driven strategies across a fast-growing global organization.
🔹 Key Responsibilities:
• Analyze large and complex datasets to identify trends, patterns, and business opportunities
• Design, define, and monitor key business KPIs and OKRs
• Partner with product, marketing, and business teams to answer strategic questions through data
• Build and maintain dashboards and self-service reporting frameworks
• Deliver clear, data-driven insights through reports and presentations
• Conduct ad hoc analysis to support business initiatives and growth projects
• Ensure data accuracy, quality, and reporting consistency
• Collaborate with data engineering teams to improve reporting infrastructure
Job Requirements:
• 3+ years of experience in Data Analytics or a similar data-driven role
• Strong SQL skills and experience working with large datasets
• Experience with KPI tracking, reporting, and performance measurement
• Familiarity with Python and data visualization tools
• Strong understanding of ETL processes and data pipelines
• Experience with A/B Testing methodologies
• Understanding of relational databases and data warehousing concepts
• Excellent analytical, problem-solving, and communication skills
• Ability to work independently in a fast-paced remote environment
⭐ Preferred Qualifications:
• Experience with Airflow and Metabase
• Hands-on experience with Machine Learning
• Knowledge of sports, gaming, or betting industries
• Experience with AWS, Redshift, Linux, or MySQL environments
• Familiarity with advanced analytics and experimentation frameworks
🎁 Benefits:
• Fully Remote work environment
• Competitive salary with quarterly performance bonuses
• 28 days paid annual leave
• Flexible working hours
• Top-tier equipment provided
• Referral and performance bonus programs
• Annual international company retreats
• Global and collaborative work culture
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