Job Opportunities API

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 • 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 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