Order Management & Data Analyst

Comrise, Inc.
Cary, NC, United States
about 2 months ago
Apply on www.indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
0 years minimum
Compensation
$52,000.0 - $58,240.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Data Analysis Big Data Business Software Business Systems Computer Literacy Pivot Tables Power BI SAP (Applications) System Testing Tableau (Software) Data Processing
+1 more
Qlikview

Job description

  • Manage corporate customer orders and product allocations systematically from initial entry through successful fulfillment.
  • Investigate complex order blocks and determine the exact root causes impacting product movement and shipping timelines.
  • Perform routine data cleanup and system maintenance activities to continuously improve data accuracy and overall operational efficiency.
  • Navigate daily workflows utilizing enterprise systems such as SAP, Qlik, advanced Excel, Winshuttle, and other business applications.
  • Collaborate fluidly with cross-functional teams including Supply Chain, Sales, Logistics, Customer Service, and Operations to resolve fulfillment hurdles.
  • Support system testing, process improvement initiatives, and specialized operational projects as assigned by leadership.
  • Deliver exceptional service by responding to internal and external inquiries and resolving order discrepancies promptly.
  • Engage proactively with customers to educate them on fulfillment processes and available corporate service offerings.
  • Develop deep technical expertise in multiple internal business systems and continuously expand your knowledge of organizational workflows.
  • Adhere strictly to established company policies, standard operating procedures, and industry compliance requirements.

Requirements

We are seeking a detail-oriented, analytical, and customer-focused specialist to support accurate and timely order management from entry through final fulfillment. In this role, you will collaborate closely with sales teams, cross-functional logistics partners, and corporate customers to investigate open orders, allocate available products, resolve order blocks, and ensure shipments move efficiently through the pipeline., * Experience: 0 to 3 years of experience in customer service, data analysis, order management, supply chain operations, or an equivalent combination of education and experience.

  • Technical Skills: Strong overall computer proficiency, including advanced Microsoft Excel skills (such as VLOOKUPs, pivot tables, or data filtering) and a strong desire to learn new digital tools.
  • System Familiarity (Preferred): Prior experience working with order processing platforms, business reporting tools, or large data sets; experience with SAP, Qlik, Tableau, Power BI, or Winshuttle is highly advantageous.
  • Analytical Mindset: Strong problem-solving skills with a proven ability to investigate errors, look at data objectively, and isolate issues independently.
  • Communication: Excellent verbal and written communication skills, including a comfortable and professional demeanor for phone-based and email interactions.
  • Work Style: Exceptionally organized, attentive to detail, and able to prioritize multiple moving tasks in a fast-paced environment while supporting a collaborative team culture., * Gain experience within a leading global organization with robust, enterprise-grade supply chain systems.
  • Work in a dynamic, innovative environment that values curious minds and problem solvers.
  • Access clear opportunities for continued professional growth, technology training, and career development.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

2:36 min

Integrating business experts and conceptualizing analytical use cases

Stefan Donsa Stefan Donsa +1 · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · World Congress 2026 Europe

Videos

See all

Related articles

See all