Senior Data Analyst

What you'll do / Responsibilities

1. Handle data discovery, exploration, and insights generation for business and product improvements;
2. Own key metrics inside the company, define targets and propose initiatives to improve current metrics;
3. Optimize ETL pipelines for scalability. Build and maintain efficient ETL processes to ensure reliable, accurate, and timely delivery of data to support analytics and reporting needs;
4. Implement data warehouse management best practices inside our current data warehouse;
5. Develop and implement reporting best practices. Lead the standardization and centralization of reporting frameworks, ensuring consistent, insightful, and user-friendly visualizations across teams;
6. Develop and maintain reliable data models to support key business metrics;
7. Create and implement processes to ensure data quality and accuracy;
8. Experience in coaching, guiding and leading projects alongside junior team members;

What you'll need / Requirements

1. 3+ years of data analytics experience;
2. (Mandatory) Outstanding analytical and logical skills;
3. (Mandatory) Excellent Google sheet/MsExcel skill for modeling, forecasting, and data visualization;
4. (Mandatory) Excellent SQL understanding (MySQL / PostgreSQL / Google BigQuery etc.);
5. Excellent data visualization skills using Apache Superset or other data visualization tools;
6. Experience in data wrangling with Python/R;
7. Experience in data modeling project;
8. Experience in integrating and implementing data warehouse management best practices;