Data Analyst

Growe is a data-driven organization focused on performance, growth, and measurable outcomes across global markets. This role supports business and management teams by transforming complex datasets into clear insights, dashboards, and actionable recommendations. The position emphasizes KPI development, traffic and unit economics analysis, reporting automation, and continuous data quality improvement to enable smarter, faster decision-making.

Growe is seeking a Data Analyst to support business growth through high-quality analytics, reporting, and insight generation. This role focuses on transforming complex data into clear narratives that guide decision-making across regions, teams, and performance channels.

Responsibilities:
- Translate complex datasets into clear insights, visualizations, and actionable recommendations for stakeholders.
- Build, maintain, and continuously improve Tableau dashboards and reports.
- Validate, clean, and prepare data from multiple sources for analysis.
- Contribute to data quality initiatives by identifying inconsistencies, gaps, and logic issues.
- Support management and business teams with data-driven insights and recommendations.
- Analyze traffic performance and unit economics across multiple regions.
- Develop KPIs and benchmarks across channels, geographies, and products.
- Support the improvement and maintenance of forecasting models.

Requirements:
- At least 3 years of experience in data analytics or a related role.
- Strong proficiency in SQL, Tableau, and Google Sheets.
- Solid understanding of performance and unit economics metrics such as CPA, LTV, conversion rates, ROMI, and retention.
- Strong skills in data validation, metric logic structuring, and process automation.
- Upper-intermediate English proficiency.

Benefits:
- Fully remote working environment.
- Opportunity to work with global datasets and cross-functional teams.
- High ownership and impact on business decision-making.
- Collaborative culture focused on results, adaptability, and continuous improvement.

This role is ideal for an analytical professional who enjoys working with ambiguity, challenging assumptions, and turning data into meaningful business outcomes.