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Revenue & COGS Technology Analyst

30+ days ago 2026/09/16 ·Application closes in 59 days
Other Business Support Services
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Job description

Are you ready to join our digital revolution journey? 
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
We are looking for a technology-driven Sr. Analyst to own Revenue & COGS assurance for Aleph's LATAM region. This role sits at the intersection of data engineering, AI automation, and financial operations. The ideal candidate brings strong systems analysis skills, combined with a working knowledge of accounting principles, to design scalable solutions that eliminate manual reconciliation, reduce errors, and accelerate financial closing cycles. 

Core Responsibilities


Financial Operations Support
Reconcile costs and revenues for campaigns on a monthly basis; support global regions as needed. Coordinate with publishers to validate and reconcile invoices, and manage discrepancy resolution. Prepare and control Intercompany Revenue and COGS, including Sales and Purchase Orders in SAP/S4 Hana. Support internal and external audits; ensure accuracy of accounting books for financial reporting. Review and validate Salesforce delivery data against publisher reports using data intelligence techniques. Automation & Technology
Design and implement automation workflows to replace manual reconciliation of revenues and costs across LATAM campaigns. Build and maintain data pipelines to integrate ERP (SAP/S4 Hana), Salesforce, and publisher data sources. Use AI tools to improve and automate processes: to detect discrepancies, anomalies, and billing errors proactively. Collaborate with IT and Engineering to develop and deploy scalable automation projects across the Finance Operations team. Build dashboards and reporting tools to provide real-time visibility of margins and performance. 

Required Skills and Experience


Technology & AI (Primary Focus): 


Experience in using Claude or similar AI tools to perform automation. Experience with AI tools for anomaly detection, pattern recognition, or predictive analytics. Advanced Excel skills (Power Query, macros/VBA, pivot tables, complex formulas). Familiarity with APIs and system integrations (ERP, CRM, publisher platforms). Knowledge of BI and data visualization tools (Power BI, Tableau, Looker, or equivalent).

Accounting & Finance (Supporting Knowledge) : 


Working knowledge of revenue recognition and cost of goods sold (COGS) concepts. Familiarity with ERP systems, ideally SAP or S4 Hana. Ability to read, validate, and reconcile financial data and invoices. Understanding of P&L structure and intercompany accounting is a plus.

Education: Degree in Information Systems, Data Engineering, Industrial Engineering, or related field. Finance/Accounting background with demonstrated strong IT skills also considered.


Experience:  3+ years in technology, data analytics, systems analysis, or finance operations roles.


Languages: Advanced English (written and oral)


Nice to Have:


Media & Advertising industry experience Knowledge of programmatic advertising platforms Revenue assurance experience in digital/service industries SAP S/4 Hana expertise

Competencies :


Analytical thinking & problem solving Attention to detail Systems & process mindset Effective communication with technical and non-technical stakeholders Organized and self-managed Ability to handle high data volumes
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