SAP Data - Senior SAP SAC Consultant

Orcapod Consulting Services; Bengaluru; On-site; INR 1,600,000 - 2,600,000; Full time

Job summary

Orcapod Consulting Services in Bengaluru is seeking a Senior SAP SAC Consultant to design and implement data-led analytics using SAP Datasphere, SAC, and related tools. You will build data pipelines, models, and dashboards tailored to Finance, Sales, and Operations use cases.

The role requires 4–6 years of hands-on experience with SAP Datasphere, SAC, SQL, and Python, and offers a contract-based engagement for 1 year with IST work hours. Candidates must be ready to work onsite in Bengaluru.

Qualifications

• Hands-on SAP Datasphere and SAC experience is required.
• Proven ability to build data pipelines and models.
• Strong SQL for data extraction and modeling.
• Proficiency in Python for data wrangling and modeling.
• Experience integrating data from diverse sources via APIs.
• Understanding of SAP data structures and FI/CO, SD, MM.
• Able to clean data and deliver analytics-ready datasets.

Responsibilities

• Design, build, and maintain data pipelines and models in SAP Datasphere and related platforms.
• Develop and maintain SAC dashboards and stories for stakeholders.
• Ensure data connections, models, and semantic layers are robust.
• Perform EDA and RCA to derive actionable insights for business.
• Collaborate with Finance, Accounting, and Commercial teams to deliver analytics.
• Push to production with governance and documentation.

Skills

SAP Datasphere

SAP Analytics Cloud

Data pipelines

SQL

Python

REST APIs

Data modeling

Finance concepts

Dashboard development

ETL

Education

BE Or Equlant

Tools

MySQL

PostgreSQL

Git

SAP HANA

Job description

Designation Jobs:

SAP Data - Senior SAP SAC Consultant

Location: Bengaluru

Experience: 4 - 6 Years

(Contract for 1year)

Mandatory Skills

• SAP Datasphere and SAP Analytics Cloud
• 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.

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. 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 Qualification

BE Or Equlant

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 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 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.

Type of Employment

Contract