Job Location: Dallas, TX
Company Name: Celanese International Corporation
Date Posted: 2019-04-01
Valid Through: 2019-04-15
Employment Type: FULL_TIME
Job ID: 5556676
Do you want to be a part of a cooperative, inclusive, and high -performance environment?
Well today is your lucky day because Celanese may be the company you are looking for. Let us explain what Celanese is all about and how our system works. Celanese Corporation is a Fortune 400 company. Our headquarters are located in Dallas, Texas. With nearly 7700 employees located throughout our 42 global manufacturing facilities, we are an industry leader in using advanced technology to produce materials included in products vital to everyday use such as automotive, electronics, pharmaceuticals, and paints. Our company takes pride in maintaining management of high financial, social, safety and environmental responsibility in everything it does. We are recognized by Glassdoor for treatment of our employees and global customers, and offer our employees outstanding benefits, including a 401K designed to ensure long term financial security. Our company focuses on the cooperation of its employees, provides competitive salary, and emphasizes giving back to the community. For more information about Celanese and our products please visit www.celanese.com
Support data analytics activities aligned with the internal audit function's mission and objectives.
Assist the Manager of Forensic Data Analysis to develop and execute continuous audit programs that provide more efficient and complete assurance coverage and/or insight across available transactional data.
Coordinate with internal audit teams to ensure data analytics and risk-based sampling are incorporated effectively within audits.
Query, join, and analyze data from multiple data sources.
Assist in training and knowledge sharing with staff auditors to enhance their data querying and analytical abilities.
Data forensics and/or data analytics experience at a public accounting firm or large global corporation.
Understanding of data analytics and visualization tools.
Proficient in MS Office, especially Excel and Access.
Problem solving and critical thinking.
Attention to detail.
Flexible and adaptable to changing schedules and work assignments.
Excellent verbal and written communication skills.
Understanding of processes, risks, and controls.
Financial analysis and business aptitude.
Familiarity with basic coding used in data analysis software.
Relevant professional certification such as CIA, CFE, etc. are preferred, but not required.
Required Years of Experience
2+ years of related professional experience in data analytics