Job DescriptionMandatory Skills
NSAP Datasphere and SAP Analytics Cloud
NTechnical
n
- n
- 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
- Strong 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. N

nDomain
n
- n
- Working 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. N

nAnalytical & Modeling
N
- n
- Demonstrated experience with forecasting and/or anomaly detection on business data. N
- Comfort with the full analytics lifecycle: EDA → RCA → insight → recommendation. N

nSoft skills
n
- N
- Robust 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. N

nPreferred / Nice-to-Have
N
- n
- 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, Sn

📌 Hiring: Sap Data (Karnataka)
🏢 Sonata Software
📍 Karnataka