Job Description

Technical· Proven experience building data pipelines and models in

SAP Datasphere

(or SAP Data Warehouse Cloud / BW modeling).· Hands-on dashboard development in

SAP Analytics Cloud (SAC)

— models, stories, and connections.· Strong

SQL

for data extraction, transformation, and analysis.· Proficiency in

Python

for data wrangling, EDA, and modeling (e.g. pandas, NumPy, scikit-learn, statsmodels).· 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.· 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).· Experience with

data cleaning

and building trustworthy, analytics-ready datasets.Domain· Working knowledge of

Finance, Accounting, and Commercial

concepts (e.g. P&L;, balance sheet, cost centers, profit centers, GL, revenue, margin, pricing,



AR/AP).· Ability to connect data work to real financial and commercial outcomes.Analytical & Modeling· Demonstrated experience with

forecasting

and/or

anomaly detection

on business data.· Comfort with the full analytics lifecycle: EDA → RCA → insight → recommendation.Soft skills· Robust communication skills; able to explain technical findings to Finance and business leaders.· Self-starter who can own problems end to end with limited supervision.

Preferred / Nice-to-Have· Experience with

S/4HANA

and/or

BW/4HANA

data models.· Familiarity with SAP CDS views, HANA Calculation Views, or ABAP for data sourcing.· Exposure to Git/version control, CI for analytics, or orchestration tools.· Experience with cloud data platforms (e.g. BigQuery, Snowflake, Databricks) and integration into the SAP landscape.· Knowledge of ML Ops or model deployment for production forecasting/anomaly workflows.· Relevant degree in Finance, Accounting, Data Science, Computer Science, Statistics, Engineering, or equivalent experience.

📌 SAP Datasphere Consultant (Mumbai)
🏢 Sonata Software
📍 Mumbai