The role will be responsible for the following
activities:

- Own the end-to-end delivery
lifecycle of analytics solutions, including requirements analysis,
solution design, development, testing, deployment, and production support.
- Design, build, and maintain
scalable data models in SAP Datasphere to support reporting and analytics
requirements.
- Develop analytical datasets,
views, and business-ready data models following governance and best
practices.
- Integrate and harmonize data
from SAP and non-SAP sources within Datasphere.
- Create and enhance SAC
dashboards, stories, and KPI reports using Datasphere as the primary data
source.
- Partner with business
stakeholders to understand requirements and translate them into technical
designs and scalable analytics solutions.
- Perform unit testing, support
SIT/UAT activities, and ensure successful deployment to production.
- Troubleshoot and optimize data
models, queries, and SAC reports for performance, usability, and data
quality.
- Ensure adherence to data
governance, security, and development standards.
- Provide ongoing support and
continuous improvement for delivered analytics products.
- Prepare technical documentation
and contribute to Agile delivery ceremonies.

Essential requirements

- Degree in Computer Science,
Business Informatics or a comparable degree.
- Overall, 10-14 years of
experience and at least 2-3 years’ experience working on SAP SAC /
Datasphere solutions as a Consultant, Analyst, Developer or relevant role.
- Strong hands-on experience in
SAP Datasphere data modelling (Analytical Models, Views, Data Flows,
Replication Flows, SQL Views).
- Experience developing SAP
Analytics Cloud (SAC) stories, dashboards, and visualizations.
- Good understanding of data
warehousing, dimensional modelling, and ETL/ELT concepts.
- Experience integrating data
from SAP S/4HANA, BW, and non-SAP systems.
- Strong SQL and analytical
problem-solving skills.
- Business process knowledge in
Finance (P&L;, Cost Centers, Budgeting, Forecasting, Procurement, Spend
Analytics) and/or Operations/Supply Chain (Inventory, Logistics,
Manufacturing, Order Management, Service Operations).
- Ability to engage with business
users and convert business requirements into technical data models and
reports.
- Excellent communication skills
and ability to work in an Agile setting.

Responsibilities

The role will be responsible for the following
activities:

- Own the end-to-end delivery
lifecycle of analytics solutions, including requirements analysis,




solution design, development, testing, deployment, and production support.
- Design, build, and maintain
scalable data models in SAP Datasphere to support reporting and analytics
requirements.
- Develop analytical datasets,
views, and business-ready data models following governance and best
practices.
- Integrate and harmonize data
from SAP and non-SAP sources within Datasphere.
- Create and enhance SAC
dashboards, stories, and KPI reports using Datasphere as the primary data
source.
- Partner with business
stakeholders to understand requirements and translate them into technical
designs and scalable analytics solutions.
- Perform unit testing, support
SIT/UAT activities, and ensure successful deployment to production.
- Troubleshoot and optimize data
models, queries, and SAC reports for performance, usability, and data
quality.
- Ensure adherence to data
governance, security, and development standards.
- Provide ongoing support and
continuous improvement for delivered analytics products.
- Prepare technical documentation
and contribute to Agile delivery ceremonies.

Essential requirements

- Degree in Computer Science,
Business Informatics or a comparable degree.
- Overall, 10-14 years of
experience and at least 2-3 years’ experience working on SAP SAC /
Datasphere solutions as a Consultant, Analyst, Developer or relevant role.
- Strong hands-on experience in
SAP Datasphere data modelling (Analytical Models, Views, Data Flows,
Replication Flows, SQL Views).
- Experience developing SAP
Analytics Cloud (SAC) stories, dashboards, and visualizations.
- Good understanding of data
warehousing, dimensional modelling, and ETL/ELT concepts.
- Experience integrating data
from SAP S/4HANA, BW, and non-SAP systems.
- Strong SQL and analytical
problem-solving skills.
- Business process knowledge in
Finance (P&L;, Cost Centers, Budgeting, Forecasting, Procurement, Spend
Analytics) and/or Operations/Supply Chain (Inventory, Logistics,
Manufacturing, Order Management, Service Operations).
- Ability to engage with business
users and convert business requirements into technical data models and
reports.




- Excellent communication skills
and ability to work in an Agile environment.

Qualifications

The role will be responsible for the following
activities:

- Own the end-to-end delivery
lifecycle of analytics solutions, including requirements analysis,
solution design, development, testing, deployment, and production support.
- Design, build, and maintain
scalable data models in SAP Datasphere to support reporting and analytics
requirements.
- Develop analytical datasets,
views, and business-ready data models following governance and best
practices.
- Integrate and harmonize data
from SAP and non-SAP sources within Datasphere.
- Create and enhance SAC
dashboards, stories, and KPI reports using Datasphere as the primary data
source.
- Partner with business
stakeholders to understand requirements and translate them into technical
designs and scalable analytics solutions.
- Perform unit testing, support
SIT/UAT activities, and ensure successful deployment to production.
- Troubleshoot and optimize data
models, queries, and SAC reports for performance, usability, and data
quality.
- Ensure adherence to data
governance, security, and development standards.
- Provide ongoing support and
continuous improvement for delivered analytics products.
- Prepare technical documentation
and contribute to Agile delivery ceremonies.

Essential requirements

- Degree in Computer Science,
Business Informatics or a comparable degree.
- Overall, 10-14 years of
experience and at least 2-3 years’ experience working on SAP SAC /
Datasphere solutions as a Consultant, Analyst, Developer or relevant role.
- Strong hands-on experience in
SAP Datasphere data modelling (Analytical Models, Views, Data Flows,
Replication Flows, SQL Views).
- Experience developing SAP
Analytics Cloud (SAC) stories, dashboards, and visualizations.
- Good understanding of data
warehousing, dimensional modelling, and ETL/ELT concepts.
- Experience integrating data
from SAP S/4HANA, BW, and non-SAP systems.
- Strong SQL and analytical
problem-solving skills.
- Business process knowledge in
Finance (P&L;, Cost Centers, Budgeting, Forecasting, Procurement, Spend
Analytics) and/or Operations/Supply Chain (Inventory, Logistics,
Manufacturing, Order Management, Service Operations).
- Ability to engage with business
users and convert business requirements into technical data models and
reports.
- Excellent communication skills
and ability to work in an Agile environment.

📌 SAP Analytics Cloud & Datasphere Consultant (India)
🏢 Terrabit Consulting- India
📍 India