Technical Data Insight Analyst

Key Skills

Data pipelines, Data science techniques, Design, JavaScript, Python Programming, R Programming, SQL

Job Description

We help the world run better

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. 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.Apply now! 

Job Summary

The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Knowledge Skills and Abilities

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
• A strong track record in delivering reproducible data science assets, concretely:
• Language-based (Python, R, SQL) data pipeline and extraction-transformation-loading processes, leveraging APIs, flat files, and database connections
• Advanced skills in data transformation, specifically joining diverse records, changing data “shape” (wide to long, e.g.), and integrating data taxonomies
• Automation skills to improve the productivity of internal teams

Foundational Competencies

• Project Management: Prioritizes tasks to efficiently drive results
• Analytical Thinking: Uses logic to arrive at solutions
• Problem Solving: Develops empirically driven recommendations
• Communication: Able to communicate well in straight forward situations

Example Activities

• Interpret and summarize data that drives actionable insights for SAP
• Combine raw information from different sources to create consistent and good formats
• Need to develop and test architectures that enable data extraction and transformation for the modeling
• Collaborate with assigned Sales Development Executives to identify new accounts, and provide the data required to target, engage, and create demand
• Utilize digital tools and strategies to uncover unseen potential within a given marketplace internally and externally
• Analyze account fit for a given strategy utilizing data from marketing and online data resources

Technical Requirements

• Expert in Microsoft Excel
• Experience with SQL based queries, Python and Automation tools

Educational Qualifications

• Diploma / Bachelor Degree
• Minimum 1 year of experiences in related field will be preferred. Entry level candidates with strong hands-on experiences can be considered.

We build breakthroughs together

SAP innovations help more than 400,000 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 200 million users and more than 100,000 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, we build breakthroughs, together.