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The Data Analyst will partner with stakeholders to translate business needs into analytical solutions and conduct end-to-end analysis of revenue, customer behavior, and operational efficiency. They are also responsible for developing data models, maintaining Tableau dashboards, and ensuring high data quality across all analytical projects.
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.
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).
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.
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.
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