Summary

Responsibilities

1. Develop the business data marts of our company covering finance, clients, and operations, and establish data lineage from sources to reporting.
2. Manage data quality by developing tests and alerting to notify the team and integrate with our data incident process.
3. Work with the finance department to provide reporting and analytical use cases.
4. Create informative dashboards for the team, company, and community.
5. Define data requirements for the data engineering team, determining granularity, frequency, and data quality.

Requirements

1. Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
2. Advanced knowledge of data modeling techniques.
3. Competence with the analytical Python stack.
4. Experience working with ETL instruments such as Airflow and dbt.
5. Proficiency in advanced SQL, including different joins and window expressions (utilizing Google BigQuery).
6. Advanced knowledge of visualization tools (e.g., Tableau, Superset, Looker)
7. Data storytelling skills and the ability to form and defend opinions with data beyond reasonable doubt.
8. Data research skills, including probability theory and mathematical statistics, and the ability to work with models like regressions and A/B tests is considered an advantage.
9. Fluent English: B2+

Skills

• Analytical Thinking
• Communications Skills
• Database Management
• Development
• Python
• SQL