Job Description
Mandatory Skills
nSAP Datasphere and SAP Analytics Cloud
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nTechnical
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· 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 Python to 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.
nDomain
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 data work to real financial and commercial outcomes.
nAnalytical & Modeling
n· Demonstrated experience with forecasting and/or anomaly detection on business data.
n· Comfort with the full analytics lifecycle: EDA → RCA → insight → recommendation.
nSoft skills
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.
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nPreferred / Nice-to-Have
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/version control, CI for analytics, or orchestration tools.
n· Experience with cloud data platforms (e.g. BigQuery, Snowflake, Databricks) and integration into the SAP l

📌 SAP Data (Bengaluru)
🏢 Sonata Software
📍 Bengaluru