Job description
Do you have experience building BI dashboards or automated reporting systems that support trading or sportsbook performance monitoring?
Have you worked with large datasets using SQL to create clean, analysis-ready tables, and used them to generate actionable insights
Are you comfortable translating complex data set into clear insights and recommendations for non-technical stakeholders, such as traders?
About the role
GRID is looking for a BI Analyst to join our Trading team and support esports trading operations through data, reporting, and statistical tools. The core focus of this role is to build and maintain statistical modules for traders and provide clear performance and actionable insights to trading.
You will work closely with traders, analytics, and data teams to ensure trading decisions are supported by accurate, timely, and actionable data.
Requirements
What you will do
Build and maintain trading performance dashboards and reports using appropriate BI and reporting tools
Build clean, reliable datasets using advanced SQL to support analysis and modeling, and collaborate with Engineering to productionize scalable data solutions
Develop automated tools and dashboards that help stakeholders monitor performance, identify opportunities, and make data-informed decisions
Develop dashboards and reports for monitoring trading performance
Create automated reporting pipelines for daily/weekly performance metrics
Establish KPI frameworks and performance tracking systems
Work closely with Analytics and Data teams to align metrics and data definitions
Optimize data queries and ETL processes for performance
Ensure data accuracy and consistency across reporting systems
Support traders with ad-hoc analysis and insights
Your skills will include
2–5 years of experience in BI, analytics, or reporting roles
Advanced proficiency in SQL and experience building structured, analysis-ready datasets
Experience with BI platforms (Tableau, PowerBI, Looker, or equivalent)
Understanding of sportsbook or trading KPIs (turnover, GGR, margin, exposure)
Strong attention to detail and data quality
Ability to communicate insights clearly to non-technical stakeholders
A demonstrated ability to translate large, complex datasets into clear recommendations and effectively communicate insights to cross-functional partners
A proactive, collaborative mindset with a strong interest in performance optimization
Nice to have
Experience in esports or sports betting
Familiarity with statistical analysis for trading
Python knowledge would be a plus, but not a requirement
Highlights
Drive the growth of GRID’s esports data across the emerging prediction markets ecosystem.
Apply today!
Originally posted on Himalayas
Who can apply
The source lists worldwide eligibility. Accepted UTC offsets: UTC-11, UTC-10, UTC-9.5, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC-4, UTC-3.5, UTC-3, UTC-2, UTC-1, UTC+0, UTC+1, UTC+2, UTC+3, UTC+3.5, UTC+4, UTC+4.5, UTC+5, UTC+5.5, UTC+5.75, UTC+6, UTC+6.5, UTC+7, UTC+8, UTC+8.75, UTC+9, UTC+9.5, UTC+10, UTC+10.5, UTC+11, UTC+12, UTC+12.75, UTC+13, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.