Company Name: Sporty Group

Job Details: 9,Locations,In-Office,or,Remote,Mid,level

Job Url: https://builtin.com/job/bi-analyst/6992308

Job Description: Sporty GroupPartnered with some of the World’s greatest Champions including Real Madrid FC, Michael Essien and Eder Militao, we’re on the lookout for some Champions of our own to be a part of the 'Top Ranked Fastest Growing and Most Successful Online Gaming Brand in the World'. Home to SportyBet, SportyTV, Sporty.com, Football.com and the newly launched SportyFM, we continue to lead with innovation and exclusive sports content.Sporty is expanding and we're building the world's go to platform for everyday entertainment.About the roleAs 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 LinuxWhat you'll be doingSetting up and executing 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  Enhancing and optimising 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 productsWhat you'll bring3+ 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 skillsEven better if you have Hands-on experience with machine learningRelevant knowledge or experience in the gaming industryWhat’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 opportunitiesInterview ProcessRemote video screening with our Talent Acquisition Team Offline Take home assignment Remote video interview with Team Members (60 Mins)Final discussion with the hiring manager (60 mins)Personalised SupportWe’re committed to making our recruitment process accessible to everyone. If you need any adjustments or accommodations during the application or interview process, please let us know.Your MoveIf you're excited about this role, even if you don't meet every requirement, we'd still love to hear from you. We understand candidates may hesitate to apply if they don't meet all requirements, however your unique perspective is what helps us innovate and grow together.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.