Analytics Engineer, Finance

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Requirements:

• Proficiency in using SQL for data extraction, wrangling, and synthesis into information (must have).
• Experience in at least one programming language (Python, Scala, Javascript, PHP)(must have).
• Expertise in telling stories with data and fluency in building with at least one data visualization tool (e.g. Looker, Superset, Tableau) (must have).
• Experience working with large datasets (must have).
• Strong understanding of data warehousing and data modeling concepts (must have).
• Experience with ETL processes and data pipeline development (must have).

Responsibilities:

• Build and maintain robust and reliable extract, transform, load (ETL) pipelines for financial data.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
• Work closely with analytics engineers, software developers, finance and accounting teams, and other business stakeholders to solve unique business problems.
• Build and deliver high-quality data solutions to support analysts, engineers, and data scientists.
• Design and build metrics/dimensions to monitor product and business performance.
• Build and maintain high-quality and reliable data visualizations/dashboards, and communicate insights broadly.
• Maintain and extend our internal tool used to report business metrics.
• Monitor and maintain the quality and integrity of financial data.