Location: Bangalore

Experience: 4–6 Years

CTC: Up to ₹17 LPA

Notice Period: Immediate Joiners Only

Shift: 9:30 AM – 6:30 PM IST(30374)

Interview Mode: Face-to-Face

Interview Rounds: 2

Job Summary We are looking for an experienced SAP Datasphere & SAP Analytics Cloud (SAC) Consultant with strong expertise in SAP data modeling, analytics, SQL, Python, and financial/commercial data. The ideal candidate should be capable of working across data engineering, analytics, dashboard development, and advanced business insights.

Key ResponsibilitiesSAP Data Engineering & Modeling

- Design, build, and maintain data pipelines and data models in SAP Datasphere.
- Work with spaces, views, data flows, replication, and source-system integrations.
- Integrate and harmonize data from SAP S/4HANA, ECC, BW/4HANA, and non-SAP sources.
- Implement data cleansing, transformation, validation, and quality checks.
- Optimize data models, queries, and semantic layers for performance and scalability.

SAP Analytics Cloud & Reporting
- Develop, publish, and maintain interactive dashboards and stories using SAP Analytics Cloud (SAC).
- Build decision-oriented visualizations with KPIs, drill-downs, and self-service capabilities.
- Work with SAC live and import data connections.
- Develop reports and dashboards using RDLC Report Builder.

Data Analysis & Insights
- Perform Exploratory Data Analysis (EDA) to identify data quality issues, trends, and relationships.
- Conduct Root Cause Analysis (RCA) for financial and commercial variances, anomalies, and performance issues.
- Translate technical analysis into actionable business insights for Finance and business stakeholders.
- Build analytics-ready and trustworthy datasets.

Advanced Analytics
- Develop forecasting models for areas such as revenue, costs, cash flow, demand, and working capital.
- Implement anomaly detection to identify unusual transactions, postings, and business patterns.
- Apply appropriate statistical and machine learning techniques to business problems.
- Validate model performance and quality.





Python & Data Integration
- Use Python for data wrangling, EDA, and analytical modeling.
- Use libraries such as Pandas, NumPy, Scikit-learn, and Statsmodels.
- Integrate data from diverse systems and APIs, including:

- MySQL / PostgreSQL

- REST APIs
- Third-party APIs and data sources

Business & Domain Collaboration
- Work closely with Finance, Accounting, and Commercial teams to understand requirements and business priorities.
- Connect analytics solutions with real business outcomes.
- Document pipelines, models, dashboards, and analytical processes.
- Promote data quality, governance, reproducibility, and maintainability.

Mandatory Skills(non-negotiable)

- 4–6 years of overall experience
- Hands-on experience with SAP Datasphere
- Strong experience with SAP Analytics Cloud (SAC)

- Experience with SAP S/4HANA

- Experience with SAP BW
- Real time exposure of SAP ABAP
- Robust SQL skills for data extraction, transformation, and analysis
- Strong Python skills for data integration, data wrangling, EDA, and analytics
- Experience with RDLC Report Builder
- Strong understanding of SAP data structures, including:

- Master and transactional data

- Document flows

- Ledgers
- SAP financial and commercial data
- Working knowledge of Finance, Accounting, and Commercial concepts, including:
- P&L;

- Balance Sheet

- Cost Centers

- Profit Centers

- General Ledger (GL)

- Revenue

- Margin

- Pricing

- Accounts Receivable (AR)

- Accounts Payable (AP)
- Strong analytical and problem-solving skills
- Excellent communication skills – mandatory

Preferred Skills

- Experience with BW/4HANA
- Knowledge of SAP CDS Views




- Knowledge of HANA Calculation Views
- Experience with cloud data platforms such as BigQuery, Snowflake, or Databricks
- Experience with Git and CI/CD for analytics
- Exposure to ML Ops and production model deployment
- Experience with forecasting and anomaly detection
- Knowledge of SAP data integration and orchestration tools
- Relevant degree in Finance, Accounting, Data Science, Computer Science, Statistics, Engineering, or equivalent experience

Candidate Requirements
- Candidates must be currently based in Bangalore.
- Immediate joiners only.
- Minimum 2 years of stability in an organization is preferred.
- Candidates should be available for a Face-to-Face interview.
- Candidates must be willing to work from the specified location and shift.
- Candidates should be comfortable providing support beyond regular hours during emergency situations, if required.
- Candidates with frequent job changes or offer-shopping history may not be considered.

Work Schedule Shift: 9:30 AM – 6:30 PM IST

Work Location: Bangalore

Interview: Face-to-Face

Interview Rounds: 2

Important Candidate Information

Shortlisted candidates may be contacted directly for interview coordination within 24–72 hours . Candidates should therefore be available for coordination and interview scheduling.

Candidates Should Be Prepared To Confirm

- Immediate joining availability
- Official notice period
- Current employment status
- Availability for Face-to-Face interview
- Work location preference
- Shift timing acceptance

Compensation: Up to ₹17 LPA, subject to experience, current compensation, skills, and internal compensation standards. Candidates should not assume or negotiate expectations based solely on the maximum budget mentioned above.

Skills: python,document flows,profit centers,sap s/4hana,ledgers,sap data structures,bw/4hana,sap analytics cloud,sap cds views,rdlc report builder,master and transactional data,p&l;,balance sheet,general ledger,sap datasphere,sap bw,cost centers,sql,sap abap

📌 SAP Datasphere & SAP Analytics Cloud (SAC) Consultant (Bengaluru)
🏢 Umanist NA
📍 Bengaluru