Job DescriptionJob Description

NTechnical

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- Proven experience building data pipelines and models in SAP Datasphere (or SAP Data Warehouse Cloud / BW modeling).
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- Hands-on dashboard development in SAP Analytics Cloud (SAC) — models, stories, and connections.
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- Strong SQL for data extraction, transformation, and analysis.
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- Proficiency in Python for data wrangling, EDA, and modeling (e.G. pandas, NumPy, scikit-learn, statsmodels).
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- 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.
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- 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).
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- Experience with data cleaning and building trustworthy, analytics-ready datasets.
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nDomain

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- Working knowledge of Finance, Accounting, and Commercial concepts (e.G. P&L;, balance sheet, cost centers, profit centers, GL, revenue, margin, pricing, AR/AP).
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- Ability to connect datawork to real financial and commercial outcomes.
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nAnalytical & Modeling

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- Demonstrated experience with forecasting and/or anomaly detection on business data.
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- Comfort with the full analytics lifecycle: EDA → RCA → insight → recommendation.
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nSoft skills

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- Solid communication skills;

able to explain technical findings to Finance and business leaders.

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- Self-starter who can own problems end to end with limited supervision.
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nPreferred / Nice-to-Have

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- Experience with S/4HANA and/or BW/4HANA data models.
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- Familiarity with SAP CDS views, HANA Calculation Views, or ABAP for data sourcing.
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- Exposure to Git/versioncontrol, CI for analytics, or orchestration tools.
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- Experience with cloud data platforms (e.G. BigQuery, Snowflake, Databricks) and integration into the SAP landscape.
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- Knowledge of ML Ops or model deployment for production forecasting/anomaly workflows.
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- Relevant degree in Finance, Accounting, Data Science, Computer Science, Statistics, Engineering, or equivalent experience.
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📌 Sap Datasphere Consultant (Bengaluru)
🏢 Sonata Software
📍 Bengaluru