Senior FP&A Data & Forecasting Lead

UPS Supply Chain Solutions, Inc.; United States; Vor Ort; USD 85.000 - 120.000; Vollzeit

Zusammenfassung

UPS Supply Chain Solutions, Inc. is seeking a data operations professional to collaborate with business analysts and development teams.

The role involves translating data requirements into logical and physical data structures, and supporting data sharing across enterprise reporting platforms. You will transform data models into physical databases, monitor performance, and help build scalable data solutions with a focus on accuracy and timely delivery.

Qualifikationen

• Bachelor's Degree or international equivalent in MIS, CS, Finance or related field preferred.
• Strong SQL skills for querying and transforming data (BigQuery preferred).
• Experience with database design principles, data modeling, and ETL processes.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Aufgaben

• Support delivery of financial and operational data for reporting, forecasting, and decision-making.
• Monitor production processes, validate results, and resolve data quality issues for timely data delivery.
• Investigate data and reporting discrepancies, perform root cause analysis, and implement corrective actions.
• Partner with business and technology teams to develop, test, and deploy data solutions and process improvements.
• Provide support, training, and guidance to users of enterprise reporting and data platforms.
• Develop and maintain documentation, procedures, and controls to promote consistency and efficiency.
• Identify opportunities to automate manual processes and improve data and reporting environments.

Kenntnisse

SQL

Analytical thinking

Communication

Ausbildung

Bachelor's degree or international equivalent

Tools

BigQuery

Jobbeschreibung

UPS Supply Chain Solutions, Inc. is seeking a data operations professional to collaborate with business analysts and development teams.

The role involves translating data requirements into logical and physical data structures, and supporting data sharing across enterprise reporting platforms. You will transform data models into physical databases, monitor performance, and help build scalable data solutions with a focus on accuracy and timely delivery.