SAP Datasphere Consultant

Sonata Software; Bengaluru; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

Sonata Software is seeking a data analytics professional to design and implement data pipelines and analytics solutions across SAP environments, including SAP Datasphere and SAC, with strong SQL and Python skills.

You will work with finance and commerce data, build dashboards, connect multiple data sources via APIs, and ensure clean, analytics-ready datasets for forecasting and anomaly detection. This role suits a self-starter who drives end-to-end analytics with minimal supervision.

Qualifications

• Proven experience building data pipelines and models in SAP Datasphere or SAP Data Warehouse Cloud.
• Hands-on dashboard development in SAP Analytics Cloud (SAC): models, stories, connections.
• Strong SQL for data extraction, transformation, and analysis.
• Proficiency in Python for data wrangling, EDA, and modeling (pandas, NumPy, scikit-learn).
• Experience using Python to pull data from diverse systems and APIs into analytics workflows.
• Solid understanding of SAP data structures and storage nuances (FI/CO, SD, MM).
• Experience with data cleaning and analytics-ready datasets.

Responsibilities

• Design and implement data pipelines and analytics solutions across SAP landscapes.
• Develop dashboards and stories in SAC and ensure data connections.
• Integrate data from diverse sources via APIs for analytics workflows.
• Collaborate with Finance and domain teams to translate requirements into models.
• Ensure data quality and create trustworthy datasets for forecasting and anomaly detection.

Skills

SAP Datasphere

SAP Analytics Cloud

SQL

Python

API integration

SAP data structures

Data cleaning

Job description

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

• 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.

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.