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Data Analyst at Sporty Group. . Location: Global - Remote. About the role. . As a Data Analyst at Sporty, you’ll be mining through petabytes of data to provide key insights that drive core business decisions. You’ll create dashboards that are used on a daily basis by product managers, traders, and executives, as well as provide in-depth reports on various areas of the business with complete freedom on your methodology.. . Furthermore, our analysts play a key role in ensuring the stability of our reporting infrastructure. They are vital in maintaining our ability to deliver accurate and consistent reporting to the various stakeholders. . . Our Stack. . . MySQL. . Python. . AirFlow. . AWS. . Metabase. . Redshift. . Linux. . . What you'll be doing. . . 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.. . . What you'll bring. . . 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. . . Even better if you have. . . Hands-on experience with machine learning. . Relevant knowledge or experience in the gaming industry. . Working knowledge of Python. . Experience with Airflow and Metabase. . . What’s in it for you. . . 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. . . Interview Process. . . Remote video screening with our Talent Acquisition Team . . Offline Take home assignment. . Remote video interview with Team Members (90 Mins). . . If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.. #LI-remote