Senior Analytics Engineer

We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

We are looking for a Senior Analytics Engineer to bridge the gap between data engineering and business analytics. This role requires building robust data pipelines, integrating disjointed data sources, and generating meaningful insights to drive key business and product decisions. 

You will design and maintain data infrastructure, ensuring that clean, reliable, and structured data is readily available for decision-making. Additionally, you will build reports, dashboards, and analytics models to help product teams prioritize, measure success, and optimize performance. 

This is a high-impact individual contributor role for someone who thrives in a fast-paced, data-driven environment, with a passion for both engineering and analytics. 

Required Skills and Experience: 
 

• Highly experienced with the data-driven approach, equipped with a data-driven mindset 
• Proficient in data analytics and data visualization, experienced with stakeholder communication through a data-driven approach 
• Experience developing dashboards, reports, and data models to help teams track product performance and business health. 
• Proficient in PySpark, PySQL, SQL, Python 
• Proficient in AWS tooling, including Glue, RedShift, EMR, Dynamo, Athena (SQL), step functions. Alternatively, experience with serverless data management in other cloud platform, e.g. Azure, Google Cloud 
• Experienced with implementation, maintenance and conducting queries of distributed production-grade python applications, preferably on top of big data  
   

Preferred Skills and Experience: 
 

• Experience with Databricks or Delta Lake 
• Experience with vector database 
• Experience with data privacy and its implementation in data pipelines 

Tasks: 
 

In this job, you will work closely with the central data science team at SAP Concur and the Concur Spend product team to identify gaps in current data collection, initiate new data streams and build infrastructure to collect, join and analyze data to deliver insights to influence product development directions and priorities. You will also work closely with machine learning scientists and build distributed production-grade data pipelines that support at-runtime usage of big data in AI-driven product features. Specifically, you will:
 

• provide insights into customer behavior, feature adoption, and operational efficiency; 
• define key success metrics and establish best practices for data-driven decision-making;
• partner with product managers, engineers, and leadership to identify business pain points, actionable insights, define and track KPIs; 
• use data to drive feature prioritization, roadmap planning, and go-to-market strategies;
• build a distributed large-scale, production-grade data pipeline on big data in AWS;
• maintain a robust and scalable data pipeline to ensure it meeting needs from products, data privacy and compliance.

Please submit your CV in English

 ​Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 427364  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid.