47303 SAP Data - SAP Datasphere and SAC Consultant

Cephas Consultancy Services Private Limited; Bengaluru; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Cephas Consultancy Services Private Limited is seeking an SAP Data Consultant with 4–6 years of experience to design and implement data pipelines and analytics in SAP Datasphere and SAP Analytics Cloud. The role involves building data models, dashboards, and integrating data from SAP and non-SAP sources to deliver actionable insights for finance and commercial teams.

The candidate should demonstrate strong SQL and Python skills for data wrangling, validation, and modeling, with the ability to

Qualifications

• 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.

Responsibilities

• Design, build and maintain data pipelines and models in SAP Datasphere spaces, views, data flows and integration with source systems.
• Create interactive dashboards and stories in SAC for Finance, Accounting and Commercial stakeholders with clear KPIs and drill-downs.
• Perform EDA/RCA to derive insights and translate findings into business recommendations for non-technical stakeholders.

Skills

SAP Datasphere and SAP Analytics Cloud

Job description

47303 SAP Data - SAP Datasphere and SAC Consultant

About this position

Positions:2 Full Time
Experience
4 - 6 Years

Mandatory Skills

• SAP Datasphere and SAP Analytics Cloud

Skill to Evaluate

• SAP Datasphere and SAP Analytics Cloud

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 eg pandas NumPy scikit learn statsmodels
• Experience using Python to pull and integrate data from diverse systems and APIs eg relational databases MySQL PostgreSQL REST APIs and third party sources eg 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 and commercial data is organized eg FI CO SD MM
• Experience with data cleaning and building trustworthy analytics ready datasets

Domain

• Working knowledge of Finance Accounting and Commercial concepts eg 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
• 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 eg 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

1

Must be willing to work in shift 9:30 AM to 06:30 PM all hours in IST if there is any Emergency Support he should be willing to extend and Provide Required Support

Design build and maintain data pipelines and models in SAP Datasphere spaces views data flows replication and integration with source systems

• Ingest and harmonize data from SAP source systems eg S/4HANA ECC BW/4HANA and non SAP sources into curated analytics ready layers
• Implement data cleansing transformation and validation logic to ensure accuracy completeness and consistency
• Optimize models and queries for performance and cost applying good practices for semantic layers and reusable views

Dashboards & Visualization

• Build publish and maintain interactive dashboards and stories in SAP Analytics Cloud SAC for Finance Accounting and Commercial stakeholders
• Design clear decision oriented visualizations with well defined KPIs drill downs and self service capabilities
• Manage data connections live and import models and access within SAC

Analysis Insight & Root Cause

• Perform Exploratory Data Analysis EDA to understand data quality distributions trends and relationships
• Conduct Root Cause Analysis RCA on financial and commercial variances anomalies and performance issuesTranslate analysis into actionable insights and recommendations communicated in plain business language to non technical stakeholders

Modeling & Advanced Analytics

• Build forecasting models on SAP data eg revenue cost cash demand working capital using appropriate statistical or ML techniques
• Develop anomaly detection to flag unusual transactions postings or patterns in SAP data for review by Finance / Controls
• Apply appropriate ML methods to prediction segmentation and pattern detection problems and validate model quality
• Partner with Finance Accounting and Commercial teams to gather requirements and prioritize deliverables
• Document pipelines models and dashboards ensure reproducibility and maintainability
• Champion data quality and governance across the analytics stack