Senior Data Analyst (iGaming)

Location: Warsaw, Poland; fully remote with the option to work from anywhere

Company

hirify.global is an iGaming development studio creating slot games and value-add tools for gaming operators, with more than 200 games and over 100 global partnerships.

What you will do

• Lead ad-hoc and recurring analysis across commercial and product areas, including operator and market performance, revenue drivers, game and portfolio performance, player KPIs, and retention.
• Explain changes in revenue (GGR) and turn findings into concise, data-backed reports and presentations for senior management.
• Build AI skills, plugins, and agents that automate analysis, monitoring, reporting, and workflows for business users.
• Define and maintain metrics and business logic in the semantic layer to establish consistent business definitions.
• Replace manual recurring analysis with automated, self-serve outputs and alerts.
• Own data quality by identifying issues, tracing them to their source, and correcting underlying definitions.

Requirements

• 5+ years of experience as a data or business analyst, including at least 2 years in a senior role owning a domain end to end and presenting to senior management.
• At least 2 years of analyst experience in a B2B iGaming company such as a game provider, aggregator, or platform, with working knowledge of GGR, RTP, operators, aggregators, and regulated versus unregulated markets.
• Hands-on experience building AI tools, skills, plugins, or agents that automate analysis or workflows for yourself and others.
• Expert SQL experience with large datasets in a cloud data warehouse such as Snowflake or a similar platform.
• Python experience for analysis and automation.
• Strong business judgment, including the ability to separate signal from noise and explain why a number changed.
• Clear executive communication and the ability to turn complex analysis into short, plain-language recommendations.
• Ownership, comfort with ambiguity and tight deadlines, and commitment to accuracy.
• Fluent written and spoken English.

Nice to have

• Experience with a semantic or metrics layer such as Jedify, dbt Semantic Layer, Cube, LookML, or Cortex.
• Workflow automation experience with Workato, Zapier, n8n, or similar tools.
• Experience with BI tools such as Tableau, Looker, or Power BI.
• A degree in economics, statistics, engineering, computer science, or another quantitative field, or equivalent practical experience.

Culture & Benefits

• Remote-first flexibility with work-from-anywhere arrangements, a setup for deep focus, and support for work-life balance.
• Development budgets and dedicated learning days for upskilling and exploring new areas.
• Medical coverage and well-being budgets.
• Yearly bonus based on company success and individual impact.
• Vertical and horizontal career growth opportunities.
• Collaboration with a global, diverse team.

Hiring process

• Within the first 30 days, learn the data model, semantic layer, and core business definitions and deliver an initial stakeholder analysis.
• Within 90 days, own domain analysis end to end and ship at least one AI skill, agent, or automated analysis for regular use.
• Within 6 months, own core metrics, agents, and automations and drive at least one AI initiative in analytics.