Data & BI Jobs in iGaming

Data and BI roles turn raw gaming transactions into the numbers the whole business runs on. Analysts build dashboards for GGR, NGR, bonus cost, and player lifetime value, segment players for CRM, and model churn and reactivation probability. Data engineers maintain pipelines that ingest millions of game rounds and bets daily, while regulatory reporting adds a compliance-critical dimension unique to gambling.

SQL is the universal requirement, with Python, dbt, and cloud warehouses like Snowflake or BigQuery increasingly standard. Because every operator and supplier needs this function, data people enjoy some of the most portable careers in iGaming, and remote arrangements are common. Browse remote data roles or check pay bands on salaries.

2open jobs
$41k - $65ktypical salary
1companies hiring
100%remote

Companies hiring Data & BI talent

Open Data & BI roles

2 jobs

Frequently asked questions

What is the difference between GGR and NGR?
GGR, gross gaming revenue, is stakes minus winnings paid out. NGR, net gaming revenue, deducts bonus costs, and depending on the operator, taxes and fees, which makes it the truer measure of commercial performance and the base for most affiliate deals.
Do iGaming data analysts need gambling domain knowledge?
It helps a lot, because metrics like hold, bonus cost ratio, and wagering turnover behave in ways generic e-commerce experience does not prepare you for. That said, strong SQL and analytical fundamentals get you hired, and the domain can be learned in months.
What does regulatory reporting involve for data teams?
Regulators like the MGA and Spelinspektionen require regular submissions covering revenue, player activity, and safer gambling indicators, sometimes through real-time data vaults. Data teams own the accuracy of these feeds, and errors carry licence consequences.