SAP Services
Consulting, S/4HANA migration, AMS, development, and managed services.
CareersCurrent Opening
SAP SAC & Datasphere Consultant
Join Anikson to deliver enterprise SAP programs, digital platforms, cloud applications, and quality engineering for growing organizations.
Responsibilities
- • Design and develop SAP Analytics Cloud (SAC) models, reports, stories, dashboards, Data Actions, and Advanced Formulas
- • Build data models, pipelines, and analytics solutions using SAP Datasphere
- • Establish and manage Live Connections between SAP Datasphere and SAC
- • Develop Finance analytics and planning solutions covering Cost Centers, Profit Centers, OPEX, CAPEX, Budgeting, Forecasting, and Variance Analysis
- • Extract, transform, and analyze data using SQL and build reliable analytics-ready datasets
- • Use Python for data wrangling, exploratory data analysis, forecasting, anomaly detection, and integration with databases, APIs, and third-party data sources
- • Work with SAP financial and commercial data across FI/CO, SD, and MM, including master and transactional data
- • Perform data cleansing, validation, and transformation to ensure data accuracy and consistency
- • Conduct exploratory analysis and root cause analysis to identify business trends, anomalies, and actionable insights
- • Collaborate with Finance and business stakeholders to understand requirements and translate them into scalable analytics solutions
- • Communicate analytical findings and recommendations effectively to both technical and business stakeholders
Required Skills
- • Strong hands-on experience with SAP Analytics Cloud (SAC)
- • Experience developing SAC Models, Stories/Dashboards, Reports, Data Actions, and Advanced Formulas
- • Hands-on experience with SAP Datasphere, including data modeling and pipelines
- • Experience with SAC–Datasphere Live Connections
- • Strong experience in Finance Data Modeling and Analytics
- • Working knowledge of Cost Center Planning, Profit Center Reporting, OPEX/CAPEX Planning, Budgeting, Forecasting, and Variance Analysis
- • Strong SQL skills for data extraction, transformation, and analysis
- • Hands-on knowledge of Python, including pandas, NumPy, scikit-learn, or similar libraries
- • Understanding of SAP data structures and Finance/Commercial processes, including P&L, Balance Sheet, GL, AR/AP, Revenue, Margin, Pricing, and Cost/Profit Centers
- • Experience with forecasting and/or anomaly detection on business data
Mandatory Skills
SAP Analytics Cloud (SAC).
SAP Datasphere Live Connections
Finance Analytics
