We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. SAP Concur provides an interactive experience to millions of users daily. Understanding and improving on this experience is core to our success. SAP Concur’s Travel Analytics group is enhancing our product analytics team with this Senior Data Scientist role. This role is embedded in SAP’s Enterprise Analytics organization and will be working closely with Product Management and Engineering to deliver insights that directly contribute to the enhancement and development of SAP Concur’s world class Spend Management & Corporate Travel suite of products. In this role, you will directly contribute to the success of SAP Concur Products by leading analyses and providing business insights to support data-driven decision making. You will report to the Director of Product Analytics and partner with stakeholders across the organization to drive business results. You will work across multiple product teams globally to assess the success of our existing products and features, identify areas for improvement, and help measure the success of launches and provide information that shapes the product roadmap. You will be part of a very diverse and engaged team that is driving major innovations in an industry that is becoming increasingly more complex. Responsibilities Include: Concur Product Team Support - You will work with select teams to understand their businesses, identify their user experience, product adoption and other data analytics needs, and provide an analytics roadmap to support their decision making. Supporting teams throughout the product development lifecycle working to drive clarity and recommendations to improve the customer experience. Analytics Expertise & Delivery -- Often we are pathfinding with new product areas and new data sources. As a Data Scientist, you need the ability to drive and deliver an end-to-end analytics solution from ensuring good data capture, appropriate metric methodologies, information visualization/presentation and data synthesis and insights. Bringing ownership and data and analytics expertise to the teams you partner with. Being able to reach out throughout the organization to connect dots and interact with various teams. Driving Analytics Patterns & Practices -- Identifying where patterns that support one product team can be easily adapted to other teams to help scale analytics and democratize access to information. Developing solutions that balance delivery time/needs with appropriate investments for durable analytics and investments to our data infrastructure. In order to accomplish this you will need to: Partner with stakeholders to understand the problems they’re trying to solve, and structure analyses to address their business needs. The successful candidate will have excellent business acumen and an ownership mindset. We are not looking for an order taker who will produce data without first understanding the business problem. Be able to independently extract data out of Big Data technologies such as AWS Redshift to produce impactful analyses with clear, actionable business insights. You are able to synthesize complex analyses and communicate succinctly with internal and external stakeholders at all levels of the organization. Have a strong attention to detail, high standards when it comes to data quality, and the ability to discover, cleanse and merge data across disparate data sources to ensure analysis of data is reliable and complete. Demonstrate substantial experience with analytical tools and techniques and bring a solid skill-set in analyzing data and communicating recommendations. What do you need to bring? Bachelor’s Degree in a quantitative field (e.g. Finance, Economics, Mathematics, Statistics) Proven track record (5+ years) leading successful user experience, product adoption and other data analytics projects that help drive business and product decisions in a fast paced and complex environment. Excellent data analytics skills using Big Data technologies such as AWS Redshift & SQL and user experience analytics skills such as Adobe Analytics, A/B Testing and survey analysis. Excellent reporting and data visualization skills ideally with Tableau and Excel. Experience with advanced analytics techniques such as statistical significance, regression, and classification. Familiarity with basic concepts of AI (Claude Code a plus). Excellent communication skills and the ability to effectively communicate complex analyses to internal and external stakeholders at all levels. Industry experience in hospitality and travel is a plus. Positive attitude and a team player with a “roll up your sleeves” mindset. 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 world. SAP is committed to the values of Equal Employment Opportunity and provides 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. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process . Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 451781 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid