Data analyst in iGaming

RubyPlay; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote-friendly

Learning budget

Medical coverage

Yearly bonus

Job summary

RubyPlay ищет Senior Data Analyst для расширения команды данных. Ваша роль охватит анализ от постановки вопроса до предоставления данных и рекомендаций, а также создание AI-инструментов для ускорения ответов бизнесу.

Требуются 5+ лет в аналитике, опыт в B2B iGaming, знание SQL/Python и умение презентовать выводы руководству. Работа удаленная, возможность взаимодействовать с глобальной командой.

Qualifications

• 5+ years 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.
• B2B iGaming experience: at least 2 years as an analyst at a game provider, aggregator, platform or other B2B iGaming company.
• Hands-on experience building with AI: AI tools are a core part of daily work and you have built AI skills, plugins or agents.
• Expert SQL on large datasets in a cloud data warehouse (Snowflake or similar).
• Python for analysis and automation.
• Clear executive communication: you turn complex analysis into a short, plain-language recommendation.

Responsibilities

• Lead ad-hoc and recurring analysis across the business, primarily commercial and product.
• Build AI skills, plugins and agents that automate analysis, monitoring and reporting.
• Define and maintain metrics and business logic in the semantic layer so the company works from one set of definitions.
• Replace manual recurring analysis with automated, self-serve outputs and alerts.

Skills

AI experience

Executive communication

Business judgement

English fluency

Education

Quantitative degree

Tools

SQL

Python

Job description

Описание:

As we continue to scale, we’re expanding our senior and AI-native Data Team. We work on a modern cloud stack with a semantic layer, AI agents and automation on top. Every team member is expected to bring new tools and ideas, and the ones that work are adopted across the company. We’re now looking for a Senior Data Analyst — an experienced, hands-on individual contributor role covering the whole business. You will own analysis end to end, from framing the question to delivering a clear, data-backed recommendation, and build the AI tools that help the team and the business get answers faster.

Задачи:

Lead ad-hoc and recurring analysis across the business, primarily commercial and product: operator and market performance, revenue drivers, game and portfolio performance, player KPIs and retention; support marketing, finance, engineering and other functions with analysis as needed Explain what drives changes in revenue (GGR) and turn findings into concise, decision-ready reports and presentations for senior management Build AI skills, plugins and agents that automate analysis, monitoring and reporting, and make them available to business users Define and maintain metrics and business logic in the semantic layer, so the company works from one set of definitions Replace manual recurring analysis with automated, self-serve outputs and alerts Own data quality in your domains: identify issues, trace them to the source and fix the definitions behind them

Требования:

5+ years 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. B2B iGaming experience: at least 2 years as an analyst at a game provider, aggregator, platform or other B2B iGaming company, with working knowledge of GGR, RTP, operators, aggregators and regulated vs. unregulated markets. Hands-on experience building with AI: AI tools are a core part of your daily work, and you have built AI skills, plugins or agents that automate analysis or workflows for yourself and others. Expert SQL on large datasets in a cloud data warehouse (Snowflake or similar). Python for analysis and automation. Strong business judgement: you separate signal from noise and can explain why a number moved, not only that it did. Clear executive communication: you turn complex analysis into a short, plain-language recommendation. Ownership: comfortable with ambiguity and tight deadlines, without compromising accuracy. Fluent English, written and spoken. Будет плюсом: Experience with a semantic or metrics layer (e.g. Jedify, dbt Semantic Layer, Cube, LookML, Cortex); Workflow automation (Workato, Zapier, n8n or similar); BI tools (Tableau, Looker, Power BI); Degree in a quantitative field (economics, statistics, engineering, computer science), or equivalent practical experience

Условия:

Remote-first flexibility — Work from anywhere with a setup for deep focus and work-life balance Learning & growth — Development budgets and dedicated days to upskill and explore new areas Health & wellness — Medical coverage and well-being budgets to help you feel balanced, strong, and supported Yearly bonus — Rewards based on company success and your impact Career growth — Vertical and horizontal opportunities to grow and advance Global team — Talented, diverse colleagues you’ll enjoy working with