BI Analyst

We consistently top the charts as one of if not the most used Sports Betting website in the countries we operate in. With millions of weekly active users, we strive to be the best in industry for our users.
As a BI 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
Responsibilities
Set up and execute extract, transformation and load (ETL) functions to build a data pipelineExtraction and analysis of large data sets from MySQL Performance tuning for current and newly added queries to the databases, ensuring the database resources are fully utilized Delivering clear analysis and reporting of core business metrics to shareholders Creation and management of reports and dashboards Data management Enhance and optimize existing reporting processes Ad hoc analysis and reporting to clients and shareholders Aid in reconfiguring existing architecture and database structure to address our shareholder's evolving needs Daily maintenance and monitoring of all BI related databases and dashboards, including proficient handling of emergencies Providing actionable insight to drive growth of core products
Requirements
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 toolsStrong knowledge with ETL data pipelinesStrong knowledge of A/B TestingFamiliarity with AirflowUnderstanding 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 skillsRelevant knowledge or experience in the gaming industryNice to have hands-on experience with machine learning