Job DescriptionJob Description NTechnicalnn Proven experience building data pipelines and models in SAP Datasphere (or SAP Data Warehouse Cloud / BW modeling). N Hands-on dashboard development in SAP Analytics Cloud (SAC) — models, stories, and connections. N Solid SQL for data extraction, transformation, and analysis. N Proficiency in Python for data wrangling, EDA, and modeling (e.G. pandas, NumPy, scikit-learn, statsmodels). N Experience using Pythonto pull and integrate data from diverse systems and APIs — e.G. relational databases (MySQL, PostgreSQL), REST APIs, and third-party sources (e.G. YouTube API) — into analytics workflows. N Solid understanding of SAP data structures and storage nuances — key tables, master vs. transactional data, document flow, ledgers, and how SAP financial/commercial data is organized (e.G. FI/CO, SD, MM). N Experience with data cleaning and building trustworthy, analytics-ready datasets. NnDomainnnWorking knowledge of Finance, Accounting, and Commercial concepts (e.G. P&L;, balance sheet, cost centers, profit centers, GL, revenue, margin, pricing, AR/AP).



N Ability to connect datawork to real financial and commercial outcomes. NnAnalytical & Modeling Nn Demonstrated experience with forecasting and/or anomaly detection on business data. N Comfort with the full analytics lifecycle: EDA → RCA → insight → recommendation. NnSoft skillsn N Strong communication skills; able to explain technical findings to Finance and business leaders. N Self-starter who can own problems end to end with limited supervision. NnPreferred / Nice-to-Have Nn Experience with S/4HANA and/or BW/4HANA data models. N Familiarity with SAP CDS views, HANA Calculation Views, or ABAP for data sourcing. N Exposure to Git/versioncontrol, CI for analytics, or orchestration tools. N Experience with cloud data platforms (e.G. BigQuery, Snowflake, Databricks) and integration into the SAP landscape. N Knowledge of ML Ops or model deployment for production forecasting/anomaly workflows. N Relevant degree in Finance, Accounting, Data Science, Computer Science, Statistics, Engineering, or equivalent experience. N

📌 Sap Datasphere Consultant (Vasanthanagar)
🏢 Sonata Software
📍 Vasanthanagar