SAP Data - SAP Datasphere Consultant

NEXWARE; Bengaluru; Hybrid; INR 1,000,000 - 1,500,000; Full time

Job summary

NEXWARE is seeking a data analytics professional to design and implement SAP-based data pipelines and analytics solutions. You will build dashboards in SAC, integrate data from SAP and external sources, and develop robust data models to support finance and commercial insights.

You will work with SQL and Python to clean data, perform EDA, and build forecasting or anomaly detection workflows. Strong understanding of SAP data structures and finance concepts is required.

Qualifications

• Experience building data pipelines and data 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 (pandas, NumPy, scikit-learn).
• Experience using Python to pull and integrate data from diverse systems: MySQL, PostgreSQL, REST APIs, YouTube API, etc.
• Understanding SAP data structures: FI/CO, SD, MM, master vs transactional data, and data storage nuances.
• Data cleaning and building analytics-ready datasets.

Skills

SAP Datasphere

SQL

Python

APIs integration

Forecasting

Anomaly detection

EDA

Finance concepts

Education

Data-related degree

Tools

SAP Analytics Cloud

MySQL/PostgreSQL

REST APIs

S/4HANA BW/4HANA

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.