Data Analyst
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Requirements
• 3+ years experience in a similar data-driven role • 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 • Relevant knowledge or experience in the gaming industry • Working knowledge of Python • Experience with Airflow and Metabase
Responsibilities
• Analysing large and complex datasets to identify trends, patterns, and actionable insights that support business decision-making. • Designing, defining, and monitoring core business KPIs to evaluate product and operational performance. • Partnering with product, marketing, and business teams to translate business questions into structured data analysis. • Delivering clear, concise, and data-driven insights to stakeholders and shareholders through presentations and reports. • Developing and maintaining dashboards and reporting frameworks that enable self-service analytics. • Conducting ad hoc analysis to support strategic initiatives and emerging business needs. • Ensuring data quality and integrity by validating datasets and collaborating with data engineering teams when needed.
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 • Our 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