AfricaSporty is hiring a Data Analyst (Europe)

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