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Sap Data Intelligence Jobs (NOW HIRING)

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 ...

SAP Master Data Governance (MDG) Lead

Chicago, IL · On-site

$68.75 - $89.50/hr

We help our clients apply intelligence to set their business apart and make them more proactive ... You have a passion for storytelling and for originating, selling and delivering SAP-based Data ...

Transformation Data & AI Architect

$65.25 - $84/hr

Responsibilities : • Define and own the target Data & AI architecture across SAP BTP, Datasphere, Data Intelligence, MDG, SLT, BW/4HANA (where relevant), and non-SAP platforms. • Establish data ...

... Intelligence - SAP HANA Studio - SAP BW HANA - SAP Analytics Cloud - Data Services - SAP Business Objects (BOBJ) - SAP BI - SAP BW - SAP HANA Modelling **Preferred:** - Management Consulting ...

SAP Analytics Cloud (SAC) Consultant

Houston, TX · On-site

$55.75 - $76.25/hr

Knowledge of SAP Analytics Cloud or similar Business Intelligence (BI) tools. Experience creating dashboards, reports, stories, and data visualizations. Understanding data modeling and analytics best ...

SAP Analytics Cloud (SAC) Consultant

Houston, TX · On-site

$55.75 - $76.25/hr

Knowledge of SAP Analytics Cloud or similar Business Intelligence (BI) tools. Experience creating dashboards, reports, stories, and data visualizations. Understanding data modeling and analytics best ...

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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:
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.
Data Scientist

Full-time

Re-posted 12 days ago


Job description

Proven to Perform.
From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is our team. We're hiring high performers as proven as our products. Join us.

ATI is seeking to hire a Data Scientist to support business unit-wide data analytics initiatives. This position will be based in Cudahy, WI.

As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods, and design and improvement of manufacturing processes.

A successful Data Scientist will work cross-functionally across multiple levels, operate effectively in early-stage development of processes and procedures, and will possess a strong Continuous Improvement mindset.

Additional Responsibilities

  • Map data from multiple sources into new structures.
  • Work with business subject matter experts to determine best solutions
  • Serve as a subject matter expert in the capabilities of Data Science.
  • Collaborate with business owners to solve business problems using a broad spectrum of data science tools, packages and visualization techniques.
  • Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data.

Basic Qualifications

  • B.S. degree in computer science, engineering with a strong statistical and programming background.
  • Experience in deep learning, predictive modeling, data mining, and time series analysis.
  • Knowledge of image segmentation, generative models, convolutional neural networks.
  • Experience in applied machine learning.

Preferred Qualifications (in addition to Basic Qualifications)

  • Experience in PyTorch, Keras/Tensorflow.
  • Experience in explainable AI.
  • Experience in SQL data query, data cleaning
    • 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 expectations are great, and the barriers are high. We're solving the world's most difficult challenges through materials science.Our advanced, integrated process technologies and proven performers give us a tremendous competitive advantage. When customers systems need to fly higher, dig deeper, stand stronger, and last longer -- anywhere on, above or below the earth -- ATI is proven to perform.

*It is ATI's policy to not provide immigration sponsorship for any of the company's positions.
ATI and its subsidiary companies will provide equal employment opportunities to all applicants without regard to applicant's race, color, religion, sex, gender, genetic information, national origin, age, veteran status, disability status, or any other status protected be federal or state law. The company will provide reasonable accommodations to allow an applicant to participate in the hiring process if so requested.