Lead Systems Analyst​

Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
Lead analysis design techniques to solve business problems using information technology to operationalize data and analytical model to drive long-term business results .

• Proficient in Data Engineering concepts within a business setting, including working with multiple systems such as SAP, internal and external data sources. Experience in developing, enhancing, testing, and maintaining data products.
• Experience in using diverse range of languages and tools, including scripting languages, for data extraction, transformation, storage, processing, and integration.
• Lead business requirements as a guide for data modeling and apply data analysis, design, modeling, and quality assurance techniques, continuous improvement based on a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions).
• Ability to simplify complex problems and effectively communicating technical concepts to a diverse audience.

More about this role
What you need to know about this position:

• Partner with MDS in providing accessibility, retrievability, security and protection of data in an ethical manner.
• Lead business requirement/ /continuous improvement sessions to support the business to understand requirements for analytical projects and develop necessary requirement documents to support their development.
• Develop UAT (User Acceptance Testing) and SIT (System Integration Testing) test cases for based off data product requirements .
• Support for building, testing, and maintaining of transports/data pipelines and retrieving applicable data sets for specific use cases.
• Support building, testing, and maintaining of data models with the flexibility to change when business requirements change, while also reconciling multiple logical source models into a single, logically consistent model.
• Analyze the structure, format, and reliability of new and existing data sources, considering factors such as data integrity, completeness, accuracy, and drive continuous improvement.
• Participate in data governance processes to ensure data is properly maintained and document for reusability by the business
• Understand data and metadata to support consistency of information retrieval, combina

What extra ingredients you will bring:
Big Data Solutions
Data Savvy
Data Modelling
Technical Agility
Innovation and Continuous Improvement
Communication
Change Management
Business Partnering
Education / Certifications:
Bachelors Degree is required
Job specific requirements:
Travel requirements:
less than 10%
Work schedule:
This position is remote and can be based anywhere in the United States
The annual base salary for this position ranges from $92800.00 to $139200 . Actual pay will be determined based on education, certifications, experience, and other job-related factors permitted by law.
No Relocation support available
Business Unit Summary
The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, weproduce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz , Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country.
Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.
Job Type
Regular
Analytics & Modelling
Analytics & Data Science