Mandatory SkillsSAP Datasphere and SAP Analytics Cloud

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. 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.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.

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 (e.g. 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.

Education QualificaitonBE or Equlant

SAP Data - Senior SAP SAC ConsultantRoles & 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 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 transparent, 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.

📌 SAP Data - Senior SAP SAC Consultant (Mumbai)
🏢 Sonata Software
📍 Mumbai