SAP Datasphere & SAP Analytics Cloud (SAC) Consultant

SAP Datasphere & SAP Analytics Cloud (SAC) Consultant

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

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  Design, build, and maintain data pipelines and data models in SAP Datasphere.

  
  


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  Work with spaces, views, data flows, replication, and source-system integrations.

  
  


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  Integrate and harmonize data from SAP S/4HANA, ECC, BW/4HANA, and non-SAP sources.

  
  


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  Implement data cleansing, transformation, validation, and quality checks.

  
  


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  Optimize data models, queries, and semantic layers for performance and scalability.

  
  

SAP Analytics Cloud & Reporting

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  Develop, publish, and maintain interactive dashboards and stories using SAP Analytics Cloud (SAC).

  
  


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  Build decision-oriented visualizations with KPIs, drill-downs, and self-service capabilities.

  
  


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  Work with SAC live and import data connections.

  
  


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  Develop reports and dashboards using RDLC Report Builder.

  
  

Data Analysis & Insights

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  Perform Exploratory Data Analysis (EDA) to identify data quality issues, trends, and relationships.

  
  


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  Conduct Root Cause Analysis (RCA) for financial and commercial variances, anomalies, and performance issues.

  
  


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  Translate technical analysis into actionable business insights for Finance and business stakeholders.

  
  


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  Build analytics-ready and trustworthy datasets.

  
  

Advanced Analytics

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  Develop forecasting models for areas such as revenue, costs, cash flow, demand, and working capital.

  
  


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  Implement anomaly detection to identify unusual transactions, postings, and business patterns.

  
  


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  Apply appropriate statistical and machine learning techniques to business problems.

  
  


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  Validate model performance and quality.

  
  

Python & Data Integration

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  Use Python for data wrangling, EDA, and analytical modeling.

  
  


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  Use libraries such as Pandas, NumPy, Scikit-learn, and Statsmodels.

  
  


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  Integrate data from diverse systems and APIs, including:

  
  
  
  
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    MySQL / PostgreSQL

    
    
  
  
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    REST APIs

    
    
  
  
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    Third-party APIs and data sources

    
    
  
  
  
  

Business & Domain Collaboration

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  Work closely with Finance, Accounting, and Commercial teams to understand requirements and business priorities.

  
  


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  Connect analytics solutions with real business outcomes.

  
  


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  Document pipelines, models, dashboards, and analytical processes.

  
  


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  Promote data quality, governance, reproducibility, and maintainability.

  
  

Mandatory Skills(non-negotiable):

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  4–6 years of overall experience

  
  


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  Hands-on experience with SAP Datasphere

  
  


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  Strong experience with SAP Analytics Cloud (SAC)

  
  


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  Experience with SAP S/4HANA

  
  


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  Experience with SAP BW

  
  


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  Real time exposure of SAP ABAP

  
  


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  Strong SQL skills for data extraction, transformation, and analysis

  
  


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  Strong Python skills for data integration, data wrangling, EDA, and analytics

  
  


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  Experience with RDLC Report Builder

  
  


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  Strong understanding of SAP data structures, including:

  
  
  
  
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    Master and transactional data

    
    
  
  
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    Document flows

    
    
  
  
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    Ledgers

    
    
  
  
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    SAP financial and commercial data

    
    
  
  
  
  


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  Working knowledge of Finance, Accounting, and Commercial concepts, including:

  
  
  
  
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    P&L

    
    
  
  
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    Balance Sheet

    
    
  
  
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    Cost Centers

    
    
  
  
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    Profit Centers

    
    
  
  
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    General Ledger (GL)

    
    
  
  
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    Revenue

    
    
  
  
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    Margin

    
    
  
  
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    Pricing

    
    
  
  
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    Accounts Receivable (AR)

    
    
  
  
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    Accounts Payable (AP)

    
    
  
  
  
  


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  Strong analytical and problem-solving skills

  
  


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  Excellent communication skills – mandatory

  
  

Preferred Skills

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  Experience with BW/4HANA

  
  


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  Knowledge of SAP CDS Views

  
  


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  Knowledge of HANA Calculation Views

  
  


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  Experience with cloud data platforms such as BigQuery, Snowflake, or Databricks

  
  


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  Experience with Git and CI/CD for analytics

  
  


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  Exposure to ML Ops and production model deployment

  
  


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  Experience with forecasting and anomaly detection

  
  


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  Knowledge of SAP data integration and orchestration tools

  
  


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  Relevant degree in Finance, Accounting, Data Science, Computer Science, Statistics, Engineering, or equivalent experience

  
  

Candidate Requirements

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  Candidates must be currently based in Bangalore.

  
  


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  Immediate joiners only.

  
  


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  Minimum 2 years of stability in an organization is preferred.

  
  


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  Candidates should be available for a Face-to-Face interview.

  
  


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  Candidates must be willing to work from the specified location and shift.

  
  


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  Candidates should be comfortable providing support beyond regular hours during emergency situations, if required.

  
  


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  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:

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  Immediate joining availability

  
  


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  Official notice period

  
  


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  Current employment status

  
  


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  Availability for Face-to-Face interview

  
  


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  Work location preference

  
  


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  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.