Celanese Corporation is a global chemical leader in the production of differentiated chemistry solutions and specialty materials used in most major industries and consumer applications. Our businesses use the full breadth of Celanese's global chemistry, technology and commercial expertise to create value for our customers, employees, shareholders and the corporation. As we partner with our customers to solve their most critical business needs, we strive to make a positive impact on our communities and the world through The Celanese Foundation. Based in Dallas, Celanese employs approximately 13,000 employees worldwide and had 2023 net sales of $10.9 billion. For more information about Celanese Corporation and its product offerings, visit www.celanese.com.
Location: 222 W. Las Colinas Blvd. Suite 900., Irving, TX 75039
DUTIES: Work with business stakeholders to define reporting and visualization requirements. Support database development, automation, and data preparation. Provide end user training of dashboards and support post go-live activities. Attend business performance review meetings to help stakeholders explore data and uncover insights. Publish and monitor workflows and dashboards. Work to extract, transform, load to standardize, and harmonize data. Work with SQL DBs, relational databases, SAP ERP, and SAP BW for analytics and reporting purposes. Develop dashboards for business metrics reporting and analytics use cases. Work with Cloud Data warehouse like snowflake or similar with data architecture, design, analytics, and deployment. Utilize programming languages like Microsoft Azure suite, SQL, Python, SAS, and SPSS. Work with statistical models analyzing relationships between industry trends, performance deriving insights, and improving accuracy using various platforms.
Minimum requirements: Requires a Master’s degree, or foreign equivalent degree, in Business Analytics, Applied mathematics or Applied Statistics, and 1 year of experience in the job offered, or 1 year of experience in a related occupation working with SQL DBs, relational databases, SAP ERP, and SAP BW for analytics and reporting purposes; developing dashboards for business metrics reporting and analytics use cases; working with Cloud Data warehouse like snowflake or similar with data architecture, design, analytics, and deployment; utilizing programming languages like Microsoft Azure suite, SQL, Python, SAS, and SPSS; and working with statistical models analyzing relationships between industry trends, performance deriving insights, and improving accuracy using various platforms.