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Sap Data Intelligence Jobs (NOW HIRING)

NTT DATA Services

SAP AI Lead Developer

Plano, TX · On-site

$56.50 - $74/hr

... Data Intelligence, SAP Analytics Cloud etc.). • Collaborate with business stakeholders and technical teams to capture requirements and convert them into solution designs. • Define data ...

NTT DATA Services

SAP AI Lead Developer

Plano, TX · On-site +1

$56.50 - $74/hr

Work on the architecture and design of AI/ML solutions embedded in the SAP landscape (S/4HANA, SAP BTP, SAP Data Intelligence, SAP Analytics Cloud etc.). Collaborate with business stakeholders and ...

NTT DATA Services

SAP AI Lead Developer

Plano, TX · On-site +1

$56.50 - $74/hr

... Data Intelligence, SAP Analytics Cloud etc.). • Collaborate with business stakeholders and technical teams to capture requirements and convert them into solution designs. • Define data ...

ATI

Data Scientist

Cudahy, WI · On-site

Experience in SAP Data Intelligence and/or Azure cloud computing a plus but not required. * If you have worked on PINN or used ML for solving materials science problem a big plus. We thrive when the ...

ATI

Data Scientist

Cudahy, WI

Experience in SAP Data Intelligence and/or Azure cloud computing a plus but not required. * If you have worked on PINN or used ML for solving materials science problem a big plus. Wethrive when the ...

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All JobsSap Data Intelligence Jobs

Sap Data Intelligence information

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$45.5K

$104.6K

$144K

How much do sap data intelligence jobs pay per year?

As of Jul 14, 2026, the average yearly pay for sap data intelligence in the United States is $104,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $118,500.00 per year, depending on experience, location, and employer.

What is the difference between Sap Data Intelligence vs SAP Data Analyst?

AspectSap Data IntelligenceSAP Data Analyst
Primary RoleDesigning, developing, and managing data pipelines and integration solutions using SAP Data Intelligence platformAnalyzing data sets to generate reports and insights using SAP tools and SQL
Required SkillsData integration, ETL processes, scripting, knowledge of SAP Data Intelligence platformData analysis, SQL, reporting tools, basic SAP knowledge
Work EnvironmentData engineering teams, cloud and on-premise SAP environmentsBusiness intelligence teams, analytics departments
CertificationsSAP Certified Application Associate - SAP Data IntelligenceSAP Certified Application Associate - SAP Analytics Cloud or similar

While SAP Data Intelligence focuses on building and managing complex data pipelines and integration solutions, SAP Data Analysts primarily analyze data to produce reports and insights. Both roles require SAP-related knowledge but differ in technical depth and focus areas.

What are the key skills and qualifications needed to thrive as an SAP Data Intelligence professional, and why are they important?

To thrive as an SAP Data Intelligence professional, you need a strong background in data management, integration, and analytics, typically supported by a degree in computer science or a related field. Familiarity with SAP Data Intelligence, SAP HANA, cloud platforms, and relevant certifications such as SAP Certified Application Associate are crucial. Analytical thinking, problem-solving, and effective communication are standout soft skills for this role. These competencies ensure seamless data orchestration, informed decision-making, and successful collaboration across business and IT teams.

What is SAP Data Intelligence?

SAP Data Intelligence is an integrated data management solution that enables organizations to connect, discover, orchestrate, and manage complex data landscapes. It allows users to combine data from various sources, both on-premises and in the cloud, and transform it into valuable business insights. The platform provides tools for data integration, data governance, machine learning, and data pipeline orchestration, helping businesses make data-driven decisions. SAP Data Intelligence is designed to support enterprise-scale data workflows and ensure data quality, compliance, and security.

What are some common challenges faced by SAP Data Intelligence professionals during data integration projects?

SAP Data Intelligence professionals often encounter challenges related to integrating data from diverse sources, especially when dealing with legacy systems or non-SAP platforms. Ensuring data quality and consistency across various formats and environments can be complex, and managing data security and compliance requirements is also a key concern. Collaboration with data engineers, business analysts, and IT security teams is crucial to address these obstacles effectively and to deliver reliable, actionable insights from integrated data pipelines.
More about Sap Data Intelligence jobs
What are the most commonly searched types of Sap Data Intelligence jobs? The most popular types of Sap Data Intelligence jobs are:
What job categories do people searching Sap Data Intelligence jobs look for? The top searched job categories for Sap Data Intelligence jobs are:
Sap Data Intelligence jobs near you
Infographic showing various Sap Data Intelligence job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $104,643 per year, or $50.3 per hour.

SAP Data & Analytics Consultant (Datasphere / SAC)

PUIG

North Brunswick, NJ

Other

Re-posted 23 days ago

Job description

The Opportunity

Location: Barcelona, Spain
Reports To: Business Intelligence Manager
________________________________________
Mission

We are looking for an experienced SAP Data Consultant with strong expertise in SAP Datasphere, and BW 4/HANA. 

This role focuses on delivering data solutions tailored to enterprise-level Financial, HR and operational data. The ideal candidate will ensure seamless data integration and analytics.

What you'll get to do

Responsibilities

1.    Data Architecture and Modeling:
    Design, implement, monitor and optimize data models within SAP Datasphere and/or BW for enterprise data.
    Create robust models that meet analytics and reporting needs across SAP Analytics Cloud.

2.    Analytics and Visualization Integration:
    Configure and manage connections between SAP Datasphere and SAP Analytics Cloud to enable dashboarding.

3.    Performance Monitoring and Optimization:
    Regularly assess system performance, analytics workloads, and governance frameworks to ensure efficiency and reliability.
    Resolve data and integration issues promptly, ensuring minimal impact on business operations.

We'd love to meet you if you have

Qualifications and Skills:

Technical Expertise:
   SAP Datasphere and BW including data modeling and pipeline configurations.
   Expertise in SAP Analytics Cloud (SAC) for building and maintaining complex dashboards.
   Skilled in ETL tools such as SAP Data Services, Alteryx, or others.

Data Management and Analytics:
   Strong understanding of enterprise data modeling techniques, including star and snowflake schemas.
   Proficiency in SQL and database query optimization.
   Familiarity with advanced analytics tools and techniques within SAP.

Soft Skills:
   Excellent interpersonal and communication skills for collaborating with technical and non-technical stakeholders.
   Strong analytical and problem-solving skills with a results-driven approach.
   Proven ability to manage projects in an agile development environment.

Education and Certifications
   Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
    4+ years of experience in data engineering roles, with a focus on SAP Datasphere and BW.

Preferred Qualifications
   Certifications in SAP BTP, SAP BW, SAP Datasphere, SAP Analytics Cloud.
   Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud) for hybrid data management solutions.
   Familiarity with machine learning and predictive analytics integration in SAP Analytics Cloud implementing compliant data solutions.

A few things you'll love about us
  • An entrepreneurial, creative and welcoming work culture
  • A range of learning and development opportunities
  • An international company with plenty of opportunities to grow
  • A competitive compensation & benefits package

Apply