Middle Data Analyst

Summary

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

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
• * 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

Nice to Haves

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