18 abr
|
Howard
|
Godoy Cruz
Postúlate en Kit Empleo: kitempleo.com.ar/empleo/nghv9
Howard Financial is a full-service back-office solution for high-growth companies with bookkeeping, payroll, and bespoke reporting needs that require accuracy, timeliness, and institutional-quality reporting without the burden of full-time staff. We are an experienced team of bookkeepers and administrators with multiple decades of combined experience across industries allowing companies to focus on their core business while we handle the rest. Founded in 2023, our team of +100 professionals supports +75 clients across a diverse range of industries. We recently reached $6M of contracted ARR and are growing rapidly (over 200% LTM growth).
About The Role
Howard Financial is seeking a Data Science, Computer/Systems Engineering, Mathematics, Statistics, Physics or Economics professional to join our operations team. This role is critical for the scalability of Howard Financial, focusing on the manual and automated migration of robust databases (100k+ rows) and the design of technological solutions to eliminate human error in the accounting workflow.
Your mission is to transform manual processes into efficient, programmable, and high-quality automated workflows.
What You'll Do
Design and execute internal automated processes to eliminate manual intervention and eradicate errors in financial data handling.
Implement code components using languages such as Python or SQL to transform and analyze data according to the integration requirements of the ecosystem.
Perform rigorous testing and debugging to ensure every automation is stable and accurate before being deployed into production.
Lead the technical migration of client databases exceeding 100,000 rows, guaranteeing the total integrity of every record.
Act as the "data guardian," validating that property and entity mapping is 100% accurate between sub-ledgers and the ERP (Sage Intacct).
Create and update mapping guides to standardize the onboarding of new clients into the financial ecosystem.
Oversee the seamless data
Postúlate en Kit Empleo: kitempleo.com.ar/empleo/nghv9
📌 Data Analyst (Godoy Cruz)
🏢 Howard
📍 Godoy Cruz