BI Analyst

Sporty Group
Summary
Join Sporty, a leading sports betting website with millions of weekly active users, as a BI Analyst. You will leverage petabytes of data to generate key insights for critical business decisions, build daily-used dashboards for various stakeholders, and produce in-depth reports. You will play a crucial role in maintaining the stability of our reporting infrastructure, ensuring accurate and consistent reporting. The role involves data mining, analysis, and reporting, along with database maintenance and optimization. You will provide actionable insights to drive product growth and contribute to reconfiguring our architecture to meet evolving needs. This position offers a unique blend of analytical challenges and opportunities to impact a rapidly growing company.
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
- 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
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
Preferred Qualifications
Nice to have hands-on experience with machine learning
Benefits
- Quarterly bonuses
- We have core hours of 10am-3pm in a local timezone, but flexible hours outside of this
- Top-of-the-line equipment
- Referral bonuses
- 28 days paid annual leave
- Annual company retreat
- Highly talented, dependable co-workers in a global, multicultural organisation
- Payment via DEEL, a world class online wallet system
- Our teams are small enough for you to be impactful
- Our business is globally established and successful, offering stability and security to our Team Members
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