SAP needs to grow and optimize customer and Partner experience measurement programs to deliver deeply impactful Experience Management (XM) insights to business stakeholders, leveraging the power of experience data to support corporate goals, including being number 1 in Customer Satisfaction.
Requirements
- Prior experience in data mining, advanced data manipulation, statistical analysis, and LLM processing, working with cloud-based computing platforms and big data tools.
- Proficient in data engineering techniques, skilled in topic modeling and sentiment analysis of unstructured data, experienced in LLM prompt engineering to generate key insights from unstructured data, competence in statistical techniques such as correlation ANOVA, and regression, fluency in Python, SQL, Excel and PowerPoint.
- Experience with Databricks is helpful.
- Ability to work independently and manage multiple projects simultaneously.
- Base understanding of the software industry and its competitive landscape.
Responsibilities
- Developing and implementing project plans for data engineering, analysis and visualization based on the needs of internal stakeholders.
- Developing and maintaining data engineering and analytic processes to support XM program targeting, analysis requirements and program expansion.
- Running statistical analysis using methods like correlation, ANOVA, regression.
- Applying Large Language Models (LLMs), including prompt engineering, to synthesize key insights
- Working with transformer-based models (e.g., BERT, GPT) for natural language processing tasks
- Troubleshooting technical issues related to data and systems in the SAP data warehouse and data lake environments.
- Identifying areas for improvement and implementing changes to enhance the efficiency and functionality of data engineering and analysis processes
Other
- Collaborating with cross-functional teams to gather requirements for data integrations.
- Training and supporting teams on data usage and results interpretation best practices.
- Bachelor’s or Master’s degree in an analytical field like Data Science, Computer Science, Mathematics/Statistics, Business Analytics, Economics, Marketing, Finance, or Social Science.
- Strong problem-solving skills, including the ability to undertake analyses, synthesize findings/recommendations, articulate a storyline, and create and conduct high-impact presentations.
- Superior interpersonal skills; ability to build relationships across SAP functional areas, geographies and hierarchical levels.
