Corporate Credit Associate

Pay Rate for Worker: XX32.00
The position is a Hybrid role and will work the following schedule.

Oncampus (summer hours) on Tuesday and Wednesday from May 1 2024 September 2 2024

The hours are between arrive 7:30 a.m. 8:30 a.m. to 5 p.m. 6 p.m. (Will work 8 hours with 1 hour lunch)
There may be workshops or training that will require you to be onsite in addition to Tuesday and Wednesday.
After September 3 2024 (until next summer) 3 days a week oncampus. These days are TBD.
Also the weeks when there are holidays the schedule oncampus is TBD

Overview:
We are seeking a detailoriented and analytical Corporate Credit Associate to join our team. The successful candidate will play a vital role in leveraging data to drive business decisions supporting customer relations and enhancing operational efficiency. This position offers an excellent opportunity to collaborate across departments and contribute to the growth and success of our organization.

Responsibilities

Analytical Insight:
Utilize analytical skills to interpret and analyze data related to corporate credit.
Identify trends patterns and potential risks to inform strategic decisionmaking.
Prepare comprehensive reports detailing findings insights and actionable recommendations.

Reporting and Solution Development:
Collaborate with stakeholders to understand reporting requirements.
Continuously improve reporting processes and tools to enhance efficiency and accuracy.

Customer Support:
Provide research support for both ongoing and new requests related to customers and stakeholders. (Pulling invoice copies and PODs data entry and other duties as requested.)
Track and manage activities using Trello ensuring visibility and accountability within the team.
Crossfunctional Collaboration:
Collaborate with crossfunctional teams to gather data and insights for credit analysis.
Work closely with colleagues to address customer inquiries and resolve issues promptly.

Qualifications:
Bachelors degree in Finance Business Administration Economics or related field.
Strong analytical skills with the ability to interpret complex data sets.
Experience with SAP ERP system preferred.
Excellent communication and interpersonal skills.
Detailoriented with a proactive approach to problemsolving.
Ability to thrive in a fastpaced dynamic environment and manage multiple priorities effectively.