Note: The job is a remote job and is open to candidates in USA. Growe is seeking a Middle Data Analyst to support data-driven business decision-making. The role partners with stakeholders, conducts end-to-end analysis, develops SQL and dbt data models, builds Tableau dashboards, validates data quality, and communicates actionable insights.
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 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
- * Solid 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
- * Adaptability and readiness to work in a dynamic environment
- * Experience with dbt, Git, Python would be an advantage
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