Job DescriptionJob Description

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
Robust 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
Solid 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, 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 Bengaluru
🏢 Sonata Software
📍 Bengaluru