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