Middle Data Analyst

Summary

Growe is a leading business advisory and services group in iGaming and Entertainment that develops strategies and scalable solutions for businesses. The Middle Data Analyst will partner with stakeholders to conduct end-to-end analyses, develop reliable data models and Tableau dashboards, ensure data quality, and communicate actionable insights to support business decisions.

Responsibilities

• Partner with business stakeholders to translate business needs into clear analytical questions, metrics, and data-driven solutions
• Conduct end-to-end analysis of revenue performance, customer behavior, funnels, retention, churn, and operational efficiency
• Identify trends, anomalies, performance drivers, and growth opportunities, and communicate actionable recommendations to stakeholders
• Develop and maintain reliable, reusable data models and datasets using SQL and dbt
• Build and improve Tableau dashboards that enable effective performance monitoring and business decision-making
• Ensure data accuracy by validating calculations, investigating discrepancies, and monitoring data quality
• Take ownership of analytical projects - from requirements gathering and methodology design to implementation and presentation of results
• Collaborate with other analysts and cross-functional teams, participate in code reviews, maintain documentation, and share knowledge across the analytics function
• Support stakeholders with ad hoc analysis while proactively identifying opportunities for deeper, scalable analytical solutions

Skills

• 2+ years in a Data Analyst or BI Analyst, or similar role
• Strong SQL skills and experience working with large datasets
• Hands-on experience with Tableau
• Experience building dashboards, automated reporting, and reusable analytical datasets
• Understanding of business metrics, data validation, descriptive statistics, and analytical methodologies
• Experience conducting end-to-end analysis: from gathering requirements and defining methodology to presenting conclusions and recommendations
• Ability to translate business questions into analytical tasks and communicate findings clearly to non-technical stakeholders
• At least Intermediate level of English (spoken and written)
• Strong analytical and structured thinking
• Ownership and the ability to work independently
• Proactive approach and genuine curiosity about business processes
• Attention to detail and commitment to data accuracy
• Ability to communicate complex findings clearly and concisely
• Focus on actionable insights and business impact rather than reporting alone
• Ability to manage priorities and work effectively with multiple stakeholders
• Collaborative mindset, openness to feedback, and willingness to share knowledge
• Experience with dbt, Git, Python would be an advantage

Qualifications

Must Haves

• 2+ years in a Data Analyst or BI Analyst, or similar role
• Strong SQL skills and experience working with large datasets
• Hands-on experience with Tableau
• Experience building dashboards, automated reporting, and reusable analytical datasets
• Understanding of business metrics, data validation, descriptive statistics, and analytical methodologies
• Experience conducting end-to-end analysis: from gathering requirements and defining methodology to presenting conclusions and recommendations
• Ability to translate business questions into analytical tasks and communicate findings clearly to non-technical stakeholders
• At least Intermediate level of English (spoken and written)
• Strong analytical and structured thinking
• Ownership and the ability to work independently
• Proactive approach and genuine curiosity about business processes
• Attention to detail and commitment to data accuracy
• Ability to communicate complex findings clearly and concisely
• Focus on actionable insights and business impact rather than reporting alone
• Ability to manage priorities and work effectively with multiple stakeholders
• Collaborative mindset, openness to feedback, and willingness to share knowledge

Nice to Haves

• Experience with dbt, Git, Python would be an advantage

Benefits

• Health & Wellness Focus
• Global Medical Coverage
• Growth Opportunities
• Benefits Programs (compensation for the gym/stomatology/psychological service & etc.)
• Performance-Driven Rewards
• Dynamic Work Environment