Staff Analytics Engineer (Accounting)

Join our growing Analytics Engineering team as a Staff Analytics Engineer. In this role, you will develop and maintain the data infrastructure that fuels reporting and analysis for the Accounting organization. You will work with SQL, Python, Snowflake, dbt, Airflow, and other systems to build and maintain data infrastructure, perform data QA, and translate reporting and analysis requirements into data model requirements. You will also work with IT and other technical stakeholders to source data, architect flexible data models, and provide input into data governance strategies. Additionally, you will meet regularly with Accounting BI and technical leads, build and maintain user-friendly documentation, and identify weaknesses in processes, data, and systems.

• Utiliser SQL, Python, Snowflake, dbt, Airflow et d'autres systèmes pour construire et maintenir l'infrastructure de données.
• Effectuer des contrôles de qualité des données et développer des procédures de test automatisées pour les modèles de données Snowflake.
• Traduire les exigences de reporting, d'analyse et d'automatisation en exigences et spécifications de modèle de données.
• Experience using Python to parse, structure, and transform data
• A bias for action
• Experience with MPP databases such as Snowflake, Redshift, BigQuery, or other relevant technologies
• Ability to prioritize and execute tasks in a high-pressure, constantly changing environment
• Ability to think creatively to solve problems
• Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets
• An ability to identify weaknesses in data and process, and a willingness to drive improvement
• Ability to communicate in an effective and efficient manner while working with a wide range of stakeholders
• 8+ years of experience working as an analytics, data, or BI engineer
• An obsession for detail and quality
• An impulse for introducing structure and simplicity into vague, complex problems
• Experience using Python to parse, structure, and transform data (bonus for Streamlit specifically)
• Experience with ERP and Financial Planning tools
• Experience working with CI/CD pipelines
• Experience leading or working within a scrum, sprint, or other agile framework
• Past experience working in an accounting role, or directly supporting analysis and reporting for accounting stakeholders