
Data Analyst
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Anywhere"), this listing's salary midpoint is about 97% lower. The offer sits below the benchmark range (€7,424–€22,408). The listed pay band (€410–€539) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 2 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Data Analyst | €3,100/per month | €5,000/per month | €12,848/per month |
| All roles in Anywhere | €7,424/per month | €15,508/per month | €22,408/per month |
Our client, Growe, is a leading business advisory and services group in iGaming and Entertainment. Сreators of strategies that work and solutions that scale. Combining strategic vision with hands-on expertise, Growe helps businesses navigate the fast-evolving industry, seize new opportunities, enter new markets, and achieve sustainable growth. Perfect for those who aim to: 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. Experience you’ll need to bring: 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; Experience with dbt, Git, Python would be an advantage; At least Intermediate level of English (spoken and written). It's a perfect match if you have those personal features: 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. Our clients offer competitive benefits to support your professional and personal growth, including: Health & Wellness Focus; Global Medical Coverage; Growth Opportunities; Benefits Programs (compensation for the gym/stomatology/psychological service & etc.); Performance-Driven Rewards; Dynamic Work Environment. Apply, and let your growth journey begin.
Job Details
Responsibilities
- Translate business needs into 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; communicate actionable recommendations
- Develop and maintain data models and datasets using SQL and dbt
- Build and improve Tableau dashboards for performance monitoring and decision-making
- Ensure data accuracy by validating calculations and monitoring data quality
- Own analytical projects from requirements to presentation of results
- Collaborate with analysts and cross-functional teams; participate in code reviews and documentation
- Provide ad hoc analysis and identify opportunities for scalable solutions
Requirements
- 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 requirements to conclusions
- Ability to translate business questions into analytical tasks and communicate findings clearly to non-technical stakeholders
- Experience with dbt, Git, Python would be an advantage
- At least Intermediate level of English (spoken and written)
Skills & Technologies

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