SAP Datasphere & SAP Analytics Cloud (SAC) Consultant

Umanist Staffing LLC

Bengaluru

On-site

INR 1,530,000 - 1,870,000

Full time

5 days ago

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Job summary

Umanist Staffing LLC in Bangalore is seeking an experienced SAP Datasphere & SAP Analytics Cloud (SAC) Consultant. The role requires deep expertise in SAP data modeling, analytics, SQL, Python, and financial/commercial data, with the ability to work across data engineering, analytics, dashboard development, and business insights.

Responsibilities include SAP Data Engineering & Modeling, SAP Analytics Cloud reporting, data analysis, advanced analytics, and Python data integration.

Qualifications

4–6 years of overall experience.
Hands-on experience with SAP Datasphere.
Strong experience with SAP Analytics Cloud (SAC).
Experience with SAP S/4HANA and SAP BW.
Real time exposure of SAP ABAP.
Strong SQL and Python skills for data tasks.
Experience with RDLC Report Builder.

Responsibilities

SAP Data Engineering & Modeling: design, build and maintain data pipelines and models.
SAP Analytics Cloud & Reporting: develop dashboards and stories with SAC.
Data Analysis & Insights: perform EDA and RCA for business insights.
Advanced Analytics: forecasting, anomaly detection, model validation.
Python & Data Integration: wrangling and integration across systems via APIs and databases.
Business & Domain Collaboration: coordinate with Finance, Accounting, and Commercial teams.

Skills

SAP Datasphere

SAP Analytics Cloud

SQL

Python

RDLC Report Builder

S/4HANA

ABAP

Data Modeling

Data Engineering

Data Visualization

Communication skills

Tools

MySQL

PostgreSQL

Job description

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
Strong 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: