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.

· Solid
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

· Strong communication skills; able to explain technical findings to Finance and business leaders.

· Self-starter who can own problems end to end with limited supervision.

📌 SAP Data (Bengaluru)
🏢 ACL Digital
📍 Bengaluru