
11 - 50 employés
Fondée en 2019
💼 Conseil
📣 Marketing
💸 Finance
Consulting • Marketing • Finance
CloudScouts est une entreprise de conseil en technologie spécialisée dans la gestion de la performance d'entreprise (EPM), la planification financière, la consolidation et des solutions de données et d'analytique. Ils mettent en œuvre et soutiennent des plateformes telles que SAP Analytics Cloud (Planification et BI), Kepion Enterprise Planning and Financial Consolidation, SAP S/4HANA Group Reporting, et Power BI afin de simplifier la budgétisation, la prévision, la consolidation financière de groupe et l'analytique pour les clients d'entreprise. CloudScouts se concentre sur des implémentations sur mesure, des intégrations et un support continu pour aider les organisations à améliorer la prise de décision financière et la précision des rapports.
🕒 il y a 3 mois
🗣️🇺🇸🇬🇧 Anglais requis
Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

11 - 50 employés
Fondée en 2019
💼 Conseil
📣 Marketing
💸 Finance
Consulting • Marketing • Finance
CloudScouts est une entreprise de conseil en technologie spécialisée dans la gestion de la performance d'entreprise (EPM), la planification financière, la consolidation et des solutions de données et d'analytique. Ils mettent en œuvre et soutiennent des plateformes telles que SAP Analytics Cloud (Planification et BI), Kepion Enterprise Planning and Financial Consolidation, SAP S/4HANA Group Reporting, et Power BI afin de simplifier la budgétisation, la prévision, la consolidation financière de groupe et l'analytique pour les clients d'entreprise. CloudScouts se concentre sur des implémentations sur mesure, des intégrations et un support continu pour aider les organisations à améliorer la prise de décision financière et la précision des rapports.
• Understand business requirements and translate them into scalable data architecture and data models • Design conceptual, logical, and physical data models for finance systems (GL, AR, AP) • Architect and implement end-to-end data solutions on Microsoft Azure • Build and maintain enterprise data warehouse and data lake architectures • Integrate data from ERP systems (SAP, Oracle, NetSuite) and other upstream sources • Develop and optimize ETL/ELT pipelines using Azure Data Factory and Databricks • Enable batch and real-time data processing using Azure-native services • Ensure data quality, consistency, and reconciliation across financial systems • Support financial reporting including P&L, Balance Sheet, and Cash Flow • Implement data governance, lineage, and cataloging using Azure Purview • Collaborate with finance, business, and engineering teams for solution delivery • Optimize performance, scalability, security, and reliability of data platforms.
• 12+ years of exp only- please don’t submit if you don’t have Finance (GL, AR, AP) experience • Strong ability to understand business data and design effective data models • Expertise in data modeling techniques (ER modeling, dimensional modeling – star/snowflake schema) • Strong hands-on experience with Microsoft Azure data services, including: Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), Azure Databricks, Azure SQL Database / Managed Instance, Azure Event Hub & Stream Analytics (real-time ingestion), Azure Functions & Logic Apps (integration and automation), Azure Purview (data governance and lineage) • Experience with data warehousing platforms (Snowflake, Redshift, Azure Synapse, BigQuery) • Strong proficiency in SQL and data transformation frameworks • Knowledge of ETL tools (Informatica, Talend, DataStage, ADF) • Familiarity with BI tools (Tableau, Power BI, MicroStrategy) • Understanding of data lakehouse architecture and medallion design (Bronze/Silver/Gold) • Strong understanding of accounting principles and financial processes • Experience with ERP systems (SAP FI/CO, Oracle Financials, NetSuite) (Preferred) • Knowledge of compliance standards (SOX, GAAP, IFRS) (Preferred) • Experience in finance transformation and data migration programs (Preferred) • Strong experience in Azure cloud architecture and implementation (Preferred) • Nice to Have: Experience with real-time streaming technologies (Kafka, Spark), Knowledge of Python or scripting languages, Experience working in large enterprise environments.
• This is a remote position. • We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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