Deloitte Hiring: Analyst | SAP Analytics 2026

Deloitte Hiring: Analyst | SAP Analytics 2026:-

Deloitte Touche Tohmatsu India LLP is hiring for the position of Analyst | SAP Analytics | Goa | SAP | DSA Oil, Gas and Utilities in Goa, India. This opportunity focuses on SAP Analytics Cloud (SAC), SAP Datasphere, SAP HANA modeling, enterprise reporting, data integration, dashboard development, and analytical solution design.

The role involves developing interactive dashboards, designing analytical data models, optimizing reporting solutions, and collaborating with business stakeholders to deliver analytics and reporting transformation initiatives.

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Complete job details are provided below.

Company:	Deloitte Touche Tohmatsu India LLP
Job Title:	Analyst – SAP Analytics
Location:	Goa, India
Business Area:	DSA Oil, Gas and Utilities
Team:	Enterprise Technology & Performance (ET&P)

Role Overview:-

Deloitte is seeking an experienced SAP analytics professional for the position of Analyst – SAP Analytics within its DSA Oil, Gas and Utilities business area.

The role focuses on designing, developing, and maintaining interactive SAP Analytics Cloud stories, dashboards, and analytical applications. The selected candidate will create executive-level KPI dashboards, operational reports, visualizations, scorecards, and self-service reporting solutions.

The position also involves working with SAP Datasphere, SAP HANA Calculation Views, CDS Views, SAP S/4HANA Embedded Analytics, and SAP BW/BW4HANA. Candidates should understand data warehousing, dimensional modeling, data integration, and analytics architecture.

A key responsibility is to translate business requirements into technical specifications and reusable analytical models while ensuring that reporting solutions meet usability, performance, and business requirements.

Educational Requirements:-

Candidates should possess one of the following qualifications:

Bachelor’s degree in Computer Science.
Bachelor’s degree in Information Technology.
Bachelor’s degree in Engineering.
Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline.
An equivalent relevant qualification in a related field, subject to the employer’s eligibility criteria.

Candidates should also have strong technical knowledge of SAP analytics technologies, data modeling, business intelligence, and enterprise reporting.

Key Skills:-

1. SAP Analytics Cloud (SAC) Skills

SAP Analytics Cloud (SAC)
SAC Stories and Dashboards
SAC Analytic Applications
SAC Planning
Digital Boardroom
Interactive Dashboard Development
Executive KPI Dashboards
Operational Reporting
Data Visualization
Scorecard Development
Self-Service Reporting
SAC Scripting
Widgets and Business Logic
Analytical Application Development
Live and Import Data Connections
Reporting Performance Optimization

2. SAP Datasphere and Data Modeling Skills

SAP Datasphere
Data Modeling and Data Integration
Relational Data Modeling
Analytical Data Modeling
Semantic Layer Development
Reusable Data Models
Business Entities
Analytical Datasets
Data Warehousing Concepts
Dimensional Modeling
Fact Tables and Dimensions
Hierarchies and Measures
Data Integration Architecture
Enterprise Analytics Architecture
Data Model Optimization

3. SAP HANA and SQL Skills

SAP HANA Modeling
SAP HANA Calculation Views
SQL Programming
SQL Query Optimization
Performance Optimization
Analytical View Development
Data Transformation
Data Modeling and Query Design
Data Processing
Analytical Dataset Development
Data Retrieval and Reporting
Calculation View Optimization

4. SAP S/4HANA and SAP BW Skills

SAP CDS Views
SAP S/4HANA Embedded Analytics
SAP BW
SAP BW/4HANA
SAP Data Integration
SAP Reporting Solutions
Enterprise Reporting
Business Data Modeling
Analytical Data Extraction
SAP Data Architecture
SAP-Based Business Intelligence
Data Source Connectivity

5. Programming and Integration Skills

JavaScript
SAC Scripting
Custom Application Development
OData Services
APIs
SAP Integration Technologies
Live Data Connections
Import Data Connections
Business Logic Development
Data Connectivity and Integration
Analytical Application Customization
Technical Design Documentation

6. Business Analysis and Functional Skills

Business Requirements Gathering
Requirement Workshops
Technical Design Specifications
Solution Design Discussions
Analytics and Reporting Strategy
KPI Framework Development
Data Visualization Recommendations
Business Process Understanding
Finance Analytics
Supply Chain Analytics
Procurement Analytics
Sales Analytics
Stakeholder Management
User Training and Knowledge Transfer
Analytics Transformation Initiatives

7. Soft Skills

Analytical and problem-solving abilities
Strong communication skills
Stakeholder collaboration
Requirement analysis
Technical documentation
Presentation skills
Attention to detail
Solution-oriented thinking
Business and technical communication
Knowledge-sharing abilities
Workshop facilitation
Independent problem-solving
Ability to work with cross-functional teams

Roles and Responsibilities:-

1. SAP Analytics Cloud Dashboard Development

Design, develop, and maintain interactive SAP Analytics Cloud stories, dashboards, and analytical applications.
Create executive-level KPI dashboards and operational reports for various business functions.
Develop visualizations, scorecards, and self-service reporting solutions using SAC best practices.
Build analytical applications that meet business reporting requirements.
Use SAC scripting, widgets, and business logic to develop advanced analytical applications.
Ensure reporting solutions meet usability and performance standards.
Maintain and enhance existing SAP Analytics Cloud dashboards and analytical applications.
Support the delivery of reliable and meaningful business insights through interactive reports.

2. SAP Datasphere and Data Modeling

Design and implement relational and analytical data models within SAP analytics environments.
Use SAP Datasphere data modeling and integration capabilities to support reporting requirements.
Develop semantic layers and reusable data models for business intelligence solutions.
Create analytical datasets and business entities to support enterprise reporting.
Apply data warehousing concepts, including dimensions, fact tables, hierarchies, and measures.
Ensure data models support business reporting and analytical requirements.
Collaborate with stakeholders to understand data requirements and translate them into appropriate models.
Support the integration of SAP and non-SAP data sources.

3. SAP HANA Calculation Views and SQL Optimization

Develop and optimize SAP HANA Calculation Views.
Work with SQL to support data retrieval, transformations, and analytical reporting.
Optimize data models and queries to improve reporting performance.
Develop analytical datasets that meet business requirements.
Support data processing and modeling activities within SAP HANA environments.
Apply suitable modeling approaches to improve the usability and performance of analytical solutions.
Work with relevant SAP data structures to support reporting and analysis.
Help maintain reusable and efficient data models for enterprise analytics.

4. SAP S/4HANA, CDS Views, and BW Integration

Work with CDS Views and SAP S/4HANA Embedded Analytics to support reporting requirements.
Use knowledge of SAP BW/BW4HANA to support enterprise reporting and analytics solutions.
Configure live and import data connections to SAP and non-SAP data sources.
Support integration between SAP analytics solutions and relevant enterprise data systems.
Develop analytical datasets using suitable SAP data sources.
Help ensure that data connectivity and reporting logic align with business requirements.
Apply SAP integration technologies to support data access and analytical solution development.

5. SAC Scripting and Custom Application Development

Develop advanced analytical applications using SAC scripting, widgets, and business logic.
Apply JavaScript and related scripting capabilities to support custom application development.
Implement application behavior based on functional and reporting requirements.
Develop interactive analytical experiences for business users.
Support the customization of dashboards and analytical applications.
Ensure applications are usable and maintainable.
Troubleshoot application logic and reporting issues as required.

6. Business Requirements and Stakeholder Collaboration

Work closely with Finance, Supply Chain, Procurement, Sales, and business users to gather requirements.
Translate business needs into technical design specifications and analytical models.
Facilitate requirement workshops, design discussions, and solution reviews.
Understand business reporting needs and recommend suitable analytical approaches.
Provide recommendations on reporting strategy, KPI frameworks, and data visualization techniques.
Collaborate with business stakeholders to validate reporting requirements and analytical outputs.
Act as a trusted advisor for analytics and reporting transformation initiatives.
Coordinate with relevant technical and functional stakeholders throughout solution development.

7. Reporting Quality and Performance Optimization

Ensure reporting solutions meet business requirements and performance standards.
Apply SAP Analytics Cloud best practices when developing dashboards and applications.
Optimize data models and analytical solutions for usability and performance.
Maintain consistency across reporting models, visualizations, and KPI calculations.
Support the development of reusable models and standardized reporting solutions.
Review analytical solutions to identify opportunities for improvement.
Help deliver reliable, accessible, and meaningful information to business users.

8. Documentation, Training, and Knowledge Transfer

Deliver user training sessions for SAP analytics solutions.
Conduct knowledge transfer sessions for relevant stakeholders and team members.
Prepare technical documentation for data models, dashboards, and analytical applications.
Document technical design specifications and relevant solution details.
Explain reporting functionality and analytical outputs to business users.
Support the adoption of self-service reporting solutions.
Share knowledge of SAC, SAP Datasphere, SAP HANA modeling, and analytics best practices.
Contribute to continuous improvement in enterprise reporting and analytics delivery.

Essential Skills and Experience:-

Candidates should demonstrate the following qualifications and experience:

4+ years of hands-on experience with SAP Analytics Cloud (SAC).
3+ years of experience with SAP Datasphere and SAP HANA modeling.
Strong experience in SAC Stories, Analytic Applications, Planning, and Digital Boardroom.
Experience delivering enterprise reporting and analytics solutions in large-scale SAP environments.
Hands-on expertise in SAP HANA Calculation Views and SQL.
Knowledge of CDS Views, SAP S/4HANA Embedded Analytics, and SAP BW/BW4HANA.
Experience with SAC scripting, JavaScript, and custom application development.
Understanding of data warehousing, dimensional modeling, and analytics architecture.
Experience with live and import data connection models.
Knowledge of OData services, APIs, and SAP integration technologies.
Ability to design relational and analytical data models.
Experience developing semantic layers, reusable data models, and analytical datasets.
Ability to translate business requirements into technical designs.
Strong stakeholder communication, documentation, and training skills.

Important: The experience requirements above are taken from the supplied job description. Candidates should ensure their actual experience meets the stated requirements.

Deloitte Hiring: Analyst | SAP Analytics 2026 Application Process:-

Interested candidates can apply from the given below link.

Apply Link:- Click Here To Apply

Note:- Only the shortlisted candidates will be notified for the further interview process.

Deloitte Hiring: Analyst | SAP Analytics 2026 | Goa