14935- SAP Data - SAP Datasphere and SAC Consultant-Bengaluru-4 - 6 Years Job Code 14935 Locations Bengaluru Minimum Experience 4 Maximum Experience 6 Mandatory Skills SAP Datasphere and SAP Analytics Cloud Skill to Evaluate SAP Datasphere and SAP Analytics Cloud Experience 4 to 6 Years Location Bengaluru 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 (e.g. pandas, NumPy, scikit-learn, statsmodels). Experience using Python to pull and integrate data from diverse systems and APIs e.g. relational databases (MySQL, PostgreSQL), REST APIs, and third-party sources (e.g. 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/commercial data is organized (e.g. FI/CO, SD, MM). Experience with data cleaning and building trustworthy, analytics-ready datasets. Domain Working knowledge of Finance, Accounting, and Commercial concepts (e.g. PL, 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.



Soft skills 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. Education Qualificaiton BE Or Equlant Job Title SAP Data - SAP Datasphere and SAC Consultant Roles Responsibilities 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.

- Data Engineering Pipelines: 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 (e.g. 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 valuable 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 issues. Translate analysis into actionable insights and recommendations communicated in plain business language to non-technical stakeholders.
- Modeling Advanced Analytics: Build forecasting models on SAP data (e.g. 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.
- Collaboration Ownership: 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.

Shift Timings 9:30 AM to 06:30 PM IST

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