Sonata Software - Senior SAP SAC Consultant - Data Analytics in Bangalore, भारत

Mandatory Skills : SAP Datasphere and SAP Analytics https://jobeax.com/link/9aiE69aeEFIyle4d : - 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 https://jobeax.com/link/MtlVO4qDidkdG5FQ : - 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 https://jobeax.com/link/FzX0wREA8WwDbHS1 & Modeling : - Demonstrated experience with forecasting and/or anomaly detection on business data.- Comfort with the full analytics lifecycle : EDA - RCA - insight - https://jobeax.com/link/o8g81hbYCp0SZ73m 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 https://jobeax.com/link/1bhyo30uZT0nZxxm / 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 https://jobeax.com/link/uB8ABqcxhBSW7tlH Qualification : BE or EquivalentRoles & 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 https://jobeax.com/link/gzw2xjPdejkwTP1C 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 https://jobeax.com/link/BGWXrni9lpHbT7F4 & 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 https://jobeax.com/link/UYJQ7TwEBI4YR3PQ, 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 https://jobeax.com/link/eIUrzFqyn6DPBGeK & 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 https://jobeax.com/link/kPDMagVEyEUfG2DJ & 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. (ref:hirist.tech)