BI Analyst

Sporty Group

Partnered 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.

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 pipeline

Extraction 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 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

Relevant knowledge or experience in the gaming industry

Nice to have hands-on experience with machine learning

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 (60 Mins)

Final discussion with the hiring manager (60 mins)

Personalised Support

We’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 Move

If 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.