Data Analyst

<p><strong>About the role</strong></p> <p>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.</p> <p>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.&nbsp;</p> <p><strong>Our Stack</strong></p> <ul> <li>MySQL</li> <li>Python</li> <li>AirFlow</li> <li>AWS</li> <li>Metabase</li> <li>Redshift</li> <li>Linux</li> </ul> <p><strong>What you'll be doing</strong></p> <ul> <li>Analysing large and complex datasets to identify trends, patterns, and actionable insights that support business decision-making.</li> <li>Designing, defining, and monitoring&nbsp; core business KPIs to evaluate product and operational performance.</li> <li>Partnering with product, marketing, and business teams to translate business questions into structured data analysis.</li> <li>Delivering clear, concise, and data-driven insights to stakeholders and shareholders through presentations and reports.</li> <li>Developing and maintaining dashboards and reporting frameworks that enable self-service analytics.</li> <li>Conducting ad hoc analysis to support strategic initiatives and emerging business needs.</li> <li>Ensuring data quality and integrity by validating datasets and collaborating with data engineering teams when needed.</li> </ul> <p><strong>What you'll bring</strong></p> <ul> <li>3+ years experience in a similar data-driven role&nbsp;</li> <li>Excellent working knowledge of SQL&nbsp;</li> <li>Familiarity with Python and a range of BI and data visualization tools</li> <li>Strong knowledge with ETL data pipelines</li> <li>Strong knowledge of A/B Testing</li> <li>Familiarity with Airflow</li> <li>Understanding of principles of relational databases and data warehouse&nbsp;</li> <li>Strong understanding of sports and gaming will be beneficial&nbsp;</li> <li>Proactive and self-driven with excellent analytical skills&nbsp;</li> <li>Ability to thrive in a fast paced and dynamic environment&nbsp;</li> <li>Great communication skills</li> </ul> <p><strong>Even better if you have</strong></p> <ul> <li>Hands-on experience with machine learning</li> <li>Relevant knowledge or experience in the gaming industry</li> <li>Working knowledge of Python</li> <li>Experience with Airflow and Metabase</li> </ul> <p><strong>What’s in it for you</strong></p> <ul> <li>Sporty is a remote first company in pursuit of sustainability</li> <li>A competitive salary + individual performance based bonuses every quarter</li> <li>28 days paid annual leave</li> <li>Our core working hours are 10am-3pm in your local time zone with flexibility outside of this</li> <li>Referral bonuses &amp; flash bonuses</li> <li>Top of the line equipment</li> <li>Annual company retreats to provide great internal networking opportunities</li> </ul> <p><strong>Interview Process</strong></p> <ul> <li>Remote video screening with our Talent Acquisition Team&nbsp;</li> <li>Offline Take home assignment</li> <li>Remote video interview with Team Members (90 Mins)</li> </ul> <p>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.<br><br>#LI-remote</p>