BI Engineer (Fraud Analytics)

TL;DR

BI Engineer (Fraud Analytics): Building and maintaining data foundations for insights and operationalizing systems to protect PuzzlePlay from fraudulent behavior with an accent on BI engineering, dashboard ownership, data modeling, and hands-on fraud detection. Focus on developing Looker dashboards, designing metric logic, and writing custom SQL rules for fraud identification.

Location: Hybrid working (3 days in office). Must be based in Minsk, BY.

Company

hirify.global is one of the largest independent mobile games companies in the world, with a global team across 12 studios, building award-winning titles and reaching over 25 million daily active users.

What you will do

• Develop and maintain Looker dashboards and reports for in-app metrics across Puzzleplay, game clients, and user acquisition channels.
• Design metric logic, build aggregate tables, and own data modeling required for high-scale reporting.
• Create business-facing documentation, including metric definitions, data dictionaries, and dashboard guides.
• Collaborate with business, Data Engineering, Analytics, and Product teams to integrate new data sources.
• Write custom SQL rules to identify suspicious user flows, login patterns, and redemption behavior.
• Lead investigations into irregularities in metrics, combining data from multiple sources.

Requirements

• Experience building out reports within Looker (or relevant BI tool, Looker preferred).
• Extensive experience in SQL (Snowflake, Bigquery etc.), including complex joins, CTEs, and pattern-recognition queries.
• Experience in a Data Analytics & BI role, delivering and maintaining metrics and dashboards across various teams.
• Ability to manipulate large datasets for exploratory analysis and investigations.
• Proven experience developing behavior-based heuristics, rules, or detection systems OR strong interest and analytical ability to ramp up quickly.
• Must be based in Minsk, BY and work in a hybrid format.

Nice to have

• Proficiency in one or more programming/scripting languages (e.g., Python/R).
• Proficiency in Looker APIs.
• Experience in a mobile app / ad tech / gaming company.
• Experience with product and user acquisition teams.

Culture & Benefits

• 20 business days paid holiday in addition to bank holidays.
• Hybrid working: 3 days in the office (Tuesdays, Wednesdays, and a third day of your choice).
• 20 business days remote working: Work from anywhere in the world, or use time to cover mandatory office days to WFH.
• Lunch provided daily in the office.
• Opportunities for continuous professional development.
• Private medical cover.
• Sport compensation benefit.
• Taxi compensation for travel to the office.
• English classes provided.

Hiring process

• Stage 1: Talent Acquisition Interview.
• Stage 2: Take-home Assessment.
• Stage 3: Manager Interview.
• Stage 4: Final Interview.
• Stage 5: Hired.