Senior Financial Data Analyst
Imperial Dade
- Charlotte, North Carolina, United States
- Charlotte, North Carolina, United States
Über
Our Shared Services Group plays a vital role in driving operational efficiency, financial performance, and process improvement across the organization. Join a strong and continuously evolving group, helping to continue to grow our business.
If you're eager for your next opportunity, Imperial Dade is a great place to take that next step.
Location variable: The listed salary range is based on the North Bergen, NJ market. Compensation for candidates in other areas will be competitively adjusted to reflect the local market.
You will:
Conduct end-to-end data validation, analyze operational and financial performance metrics, and develop actionable insights to improve efficiency and cost-effectiveness across multiple business units.
dentify opportunities for streamlining processes within shared services operations, including accounts payables, accounts receivables, cash application, and billing.
Serve as subject matter/knowledge expert to internal stakeholders, providing holistic insights on order to cash and procure to pay challenges; responsibilities include serving as daily "thought partner" and "co-operator" to VP of Shared Services and Function Directors
Collaborate with cross-functional teams to execute improvement initiatives, ensuring alignment with organizational goals and timelines.
Serve as a key point of contact for internal stakeholders, providing regular updates on project progress, risks, and outcomes.
Work closely with team members and operational staff to ensure timely delivery of project deliverables and maintain high-quality standards.
You have:
2 to 3 + years of relevant work experience in Management Consulting, Private Equity, Corporate Strategy or related field (e.g., Treasury, Procure to Pay, Order to Cash)
Bachelor's degree or equivalent experience
Strong expertise with data and analytics tools such as Microsoft Excel, PowerBI, PowerAutomate, etc.
Expertise in one or more of the following areas: Data Analytics and Business Intelligence, Business Process Improvement / Global Process Ownership (GPO), Order to Cash / Procure to Pay Processes
Proven experience in analyzing and synthesizing large, complex datasets to identify trends and opportunities for improvement
Sprachkenntnisse
- English
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