FinStrat Management, Inc.
Finance • SaaS • Fintech
FinStrat Management, Inc. is a financial services company that specializes in providing accounting, finance, and reporting solutions for SaaS, AI-driven, and venture-backed companies. The firm offers a range of services including fractional CFO, controller, and bookkeeping, as well as VC fund accounting and administration. Additionally, they provide portfolio company monitoring and private asset tracking and reporting services tailored for high-net-worth individuals, family offices, and VCs. FinStrat leverages AI tools to enhance financial operations and deliver GAAP-compliant financial insights through web-based dashboards.
Data Engineer
Job not on LinkedIn
October 25
FinStrat Management, Inc.
Finance • SaaS • Fintech
FinStrat Management, Inc. is a financial services company that specializes in providing accounting, finance, and reporting solutions for SaaS, AI-driven, and venture-backed companies. The firm offers a range of services including fractional CFO, controller, and bookkeeping, as well as VC fund accounting and administration. Additionally, they provide portfolio company monitoring and private asset tracking and reporting services tailored for high-net-worth individuals, family offices, and VCs. FinStrat leverages AI tools to enhance financial operations and deliver GAAP-compliant financial insights through web-based dashboards.
📋 Description
• Analyze large and complex datasets to extract meaningful insights and drive decision-making processes • Collaborate with cross-functional teams to understand business requirements and transform them into technical solutions • Design, develop, and maintain robust data pipelines for efficient data ingestion, transformation, and storage • Build, validate, and maintain data models to support machine learning and statistical analysis needs • Write efficient, scalable, and well-documented Python code to support data engineering and analysis tasks • Monitor, troubleshoot, and enhance the performance of data systems and pipelines.
🎯 Requirements
• Strong proficiency in Python and familiarity with data processing libraries (e.g., Pandas, NumPy, PySpark) • Experience with SQL for data extraction and manipulation • Experience in designing, building, and managing data pipelines, ETL workflows, and data warehousing solutions • Ability to apply statistical methods for data analysis and familiarity with machine learning concepts • Proven ability to troubleshoot complex data issues and continuously improve workflows for efficiency and accuracy • Effective communication skills to convey data insights to technical and non-technical stakeholders alike.
🏖️ Benefits
• Compensation commensurate with experience • Unlimited vacation • Ongoing education and training • Bonuses and profit-sharing
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