Guide the evaluation and integration of SAP SuccessFactors and data analytics solutions, ensuring comprehensive insights and stakeholder collaboration.
This is a remote position.
Our client is embarking on an implementation journey with SAP SuccessFactors and seeks a skilled professional to spearhead the evaluation of data analytics solutions.
As the SAP SuccessFactors and Datasphere/SAC Data and Analytics Specialist, you will play a pivotal role in guiding our project, leveraging your expertise in SAP SuccessFactors People and Workforce Analytics and Planning. Your primary focus will be on evaluating and integrating SuccessFactors Analytics with leading data platforms such as Databricks, SAP Datasphere, and SAP Analytics Cloud (SAC), with the aim of delivering comprehensive, actionable insights to our clients.
Key Responsibilities:
- Evaluate data analytics options for SuccessFactors People & Workforce analytics, including Databricks, SAP Datasphere, and SAP Analytics Cloud (SAC).
- Provide expertise in SAP SuccessFactors People and Workforce Analytics and Planning to drive informed decision-making.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Design and implement data models, integrations, and visualizations to meet business needs.
- Support the integration and deployment of SuccessFactors Analytics with chosen data platforms.
- Ensure alignment with project timelines, objectives, and quality standards.
Requirements
- Proven track record in SAP SuccessFactors, specifically in People and Workforce Analytics and Planning.
- Deep understanding of data analytics platforms, including Databricks, SAP Datasphere, and SAP Analytics Cloud (SAC), with exposure to Azure Data Lake preferred.
- Proficiency in data modeling, integration, and visualization techniques.
- Strong problem-solving skills with the ability to address complex business challenges.
- Excellent communication and stakeholder management skills, with the ability to convey technical concepts to non-technical audiences.
Preferred Skills:
- SAP SuccessFactors certification, demonstrating expertise in People and Workforce Analytics.
- Certification in Datasphere, SAP Analytics Cloud (SAC), and/or Databricks, showcasing proficiency in respective platforms.
Similar Jobs
Big Data • Machine Learning • Social Impact • Software
The Staff SDET will design and implement a testing strategy for the organization’s data platform, ensuring data quality and system reliability through automated integration testing and mentoring engineers in testing best practices.
Top Skills:
AWSDynamoDBEcsFlinkGraphQLKafkaLambdaMongoDBNosql DatabasesOlap Data StoresPinotPythonRest ApisS3SnowflakeSpark
Big Data • Machine Learning • Social Impact • Software
The role involves managing Data Success Managers, overseeing data operations, supporting partners, and improving team workflows to deliver quality service.
Top Skills:
PythonSQL
Software
As a Senior Software Engineer, you will enhance core communication systems by developing features across the stack and integrating with third-party services, ensuring reliability and scalability while debugging production issues.
Top Skills:
AWSCSSJvmKotlinPostgresReactSassTypescript
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory


