[iGaming] Senior Data Analyst
Remote | Ukraine
Ruby Labs
We are seeking a talented and detail-driven Senior Data Analyst for an iGaming Operator. You will develop robust data models, dashboards, and reports using tools like Tableau and Power BI. You will consolidate data from multiple sources—including our internal platform and product analytics tools—and deliver comprehensive reports that detail spend, ROI, cohort analysis, and other essential metrics. A deep understanding of key online casino metrics and industry trends is essential for success in this role.
Key ResponsibilitiesData Integration & Analysis:
Develop and maintain efficient data pipelines and ETL processes to consolidate information from various sources.
Ensure data accuracy and integrity through rigorous testing and validation.
Reporting & Dashboard Creation:
Design, develop, and maintain interactive dashboards and reports using Tableau and Power BI.
Build comprehensive reports that analyze key performance indicators, such as spend, ROI, cohort trends, and other granular metrics.
Collaboration & Communication:
Work closely with marketing, product, and finance teams to understand data requirements and translate them into actionable insights.
Present findings and recommendations to stakeholders to support strategic decision-making.
Industry Expertise:
Leverage your experience in the gambling industry to interpret data within the context of online casino metrics.
Apply your knowledge of key performance indicators unique to the gambling sector to drive insightful analysis.
Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
Minimum of 3 years experience in data analytics, with a strong track record in the gambling or online casino industry.
Proficiency in data visualization tools such as Tableau and Power BI.
Experience with data integration tools and product analytics platforms (e.g., Airbyte, Mixpanel) is a plus.
Strong SQL skills and a thorough understanding of ETL processes.
Excellent analytical and problem-solving skills with meticulous attention to detail.
Effective communication skills and the ability to work collaboratively in a cross-functional environment.
A proactive approach to transforming data insights into actionable business recommendations.
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
Interview ProcessAfter submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
Recruiter Screening (40 minutes)
Critical Thinking Assessment (10 minutes)
Technical Interview (90 minutes)
Final Interview (60 minutes)
Join our team and enjoy a variety of amazing benefits! Check out just a few of the perks we offer below:
Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere.
Excited about the opportunity? Apply today!
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data Analytics Data pipelines Data visualization ETL Finance Pipelines Power BI Ruby SQL Statistics Tableau Testing
Perks/benefits: Flex hours Flex vacation Unlimited paid time off
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