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Data Analyst

Job not on LinkedIn

đź•’ April 2

🇪🇺 Europe – Remote

⏰ Full Time

🟡 Mid-level

đźź  Senior

📉 Data Analyst

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Logo of Sporty Group

Sporty Group

501 - 1000 employees

Founded 2013

📱 Media

🎮 Gaming

🎲 Gambling

Media • Gaming • Gambling

Sporty Group is a global sports, technology and entertainment company that builds large-scale products including live sports experiences, streaming media, interactive gaming, and integrated sports betting platforms. The group operates remote-first across multiple continents with flagship offerings such as SportyTV (a free live sports and entertainment streaming platform), Sporty. com (sports app with news, scores, streams, and odds), Sporty Studios (video and content production), and Sporty Interactive (video games and SportyBet sportsbook). Sporty focuses on user experience, technology-driven innovation, and scaling digital products for millions of users worldwide.

đź“‹ Description

• Analyse large and complex datasets to identify trends, patterns, and actionable insights supporting business decision-making • Design, define, and monitor core business KPIs to evaluate product and operational performance • Partner with product, marketing, and business teams to translate business questions into structured data analysis • Deliver clear, concise, data-driven insights to stakeholders and shareholders through presentations and reports • Develop and maintain dashboards and reporting frameworks enabling self-service analytics • Conduct ad hoc analysis supporting strategic initiatives and emerging business needs • Ensure data quality and integrity by validating datasets and collaborating with data engineering teams when needed • Maintain reporting infrastructure to support accurate and consistent reporting

🎯 Requirements

• 3+ years experience in a similar data-driven role • Strong experience in working with KPIs and OKRs • Excellent working knowledge of SQL • Familiarity with Python and a range of BI and data visualization tools • Strong knowledge with ETL data pipelines • Strong knowledge of A/B Testing • Familiarity with Airflow • Understanding of principles of relational databases and data warehouse • Strong understanding of sports and gaming will be beneficial • Proactive and self-driven with excellent analytical skills • Ability to thrive in a fast paced and dynamic environment • Great communication skills • Hands-on experience with machine learning is an advantage • Relevant knowledge or experience in the gaming industry is an advantage • Experience with Airflow and Metabase is an advantage

🏖️ Benefits

• Sporty is a remote first company in pursuit of sustainability • A competitive salary + individual performance based bonuses every quarter • 28 days paid annual leave • Core working hours are 10am-3pm in your local time zone with flexibility outside of this • Referral bonuses & flash bonuses • Top of the line equipment • Annual company retreats to provide great internal networking opportunities

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