Remote Analytics Engineer

Summary

Join our team as an Analytics Engineer to innovate and enhance data transformation processes, integrating diverse data sources, refining data models, and ensuring data integrity and performance.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Finance, or a related field
• 1-2 years of experience in analytics or a similar role, preferably within a SaaS or finance environment
• Proficiency in SQL for data manipulation and analysis
• Strong analytical skills with the ability to interpret complex datasets
• Proficient communication skills

Responsibilities

• Manage, innovate, and enhance data transformation processes
• Integrate diverse data sources like accounting platforms or HR tools
• Refine our data models
• Ensure data integrity and performance at the highest level
• Work closely with customers to identify their requirements, troubleshoot data issues, and collaborate with the engineering team to design robust data integrity tests
• Build and continuously enhance data transformations for new and existing data sources
• Improve performance of data models and transformations
• Design tests in collaboration with other teams to ensure data integrity
• Maintain comprehensive documentation of data models, ETL processes, and reporting frameworks for future reference
• Directly engage with the Customer Success team to understand their data transformation needs
• Troubleshoot and refine customer-specific data transformations
• Review the status of data integrations, assisting the customer success team

Preferred Qualifications

• Exposure to and interest in Finance, particularly in Financial Planning & Analysis (FP&A)
• Familiarity with programming languages such as Python or R
• You like working with Excel/Google Sheets