Logistics Data Analyst Job (Remote) | ARDEM Data Services | Lucknow/India

Remote Job 🔔

Data Analyst – Claim Processing

ARDEM Data Services | Work From Home

🎓 Experience 1 – 3 Years
💼 Role Type Full-Time (Remote)
💻 Key Skill Logistics Claims
🌐 Internet 100 Mbps (Req)

ARDEM Data Services, a leading global provider of Business Process Outsourcing (BPO) and Automation, is hiring for the role of Data Analyst – Claim Processing. This is a 100% Remote Opportunity specifically designed for professionals looking for a balanced work-life environment. If you have experience in the logistics domain and strong analytical skills, this is the perfect career move.

About ARDEM Data Services

ARDEM has been a pioneer in the BPO and BPA space for over 20 years, successfully serving clients across the USA and Canada. With a mission to strive for excellence, ARDEM is a rapidly growing company that prioritizes innovation and high-quality service delivery.

Job Profile Overview

  • Job Role: Data Analyst – Claim Processing Executive
  • Company: ARDEM Data Services Private Limited
  • Location: Remote (Work From Home)
  • Experience: Minimum 1 Year (Preferred 1-3 Years)
  • Employment Type: Full-Time

Key Responsibilities

  • Claim Validation: Review, validate, and process logistics claims including freight, damage, shortage, and delay claims.
  • Document Authentication: Verify supporting documents like Bill of Lading (BOL), Proof of Delivery (POD), and invoices.
  • Inbox Management: Monitor client emails, prioritize urgent cases, and coordinate task assignments.
  • Compliance: Adhere strictly to SOPs and client-specific guidelines to ensure high accuracy.
  • Coordination: Work with internal operations, carriers, and client stakeholders for issue resolution.
  • System Updates: Identify discrepancies and proactively flag exceptions while maintaining internal documentation.

Technical Requirements (Mandatory)

Since this is a permanent work-from-home role, you must meet the following hardware specifications:

  • System: Windows Laptop/Desktop (I5 Processor or higher).
  • RAM: Minimum 8GB (Mandatory).
  • Display: 14-inch screen with FHD Resolution (1920×1080).
  • Connectivity: High-speed internet (100 Mbps or higher).
  • Software: Ability to use AnyDesk for official support.

Eligibility Criteria & Skills Required

  • Experience: 1 to 3 years in logistics, freight audit, or claims processing. Exposure to US Logistics/Transportation is highly preferred.
  • Analytical Skills: High degree of attention to detail and strong organizational abilities.
  • Communication: Excellent written and verbal English communication skills.
  • Tools: Proficiency in MS Excel and the MS Office Suite.
  • Shift: Ability to work in rotational shifts if required.
CategoryDetails
Job RoleData Analyst – Claim Processing
CompanyARDEM Data Services
LocationRemote (Work From Home)
Experience1 – 3 Years
Primary DomainUS Logistics / Transportation
HardwareI5 Processor, 8GB RAM, 100Mbps Net
ToolsMS Excel, TMS, ERP
Application ModeOnline

How to Apply for ARDEM Data Services?

Eligible candidates can apply online directly through the recruitment channel.

  1. Click on the “Apply Now” button below.
  2. Follow the application steps on the ARDEM Careers page.
  3. Ensure your resume highlights your experience with TMS/ERP platforms and Logistics terminology.
  4. Verify that your hardware meets the minimum requirements before submitting.

Frequently Asked Questions (FAQs)

1. Is the ARDEM Data Analyst role a permanent work-from-home position? Yes, this is explicitly listed as a Remote Opportunity to enhance work-life balance for employees.

2. What are the mandatory hardware requirements for this role? You must have a Windows laptop or desktop with an i5 processor (or higher), a minimum of 8GB RAM, and a high-speed internet connection of at least 100 Mbps.

3. Does this role require previous experience in logistics? While the minimum requirement is 1+ year of experience in back-office functions, 1-3 years of experience in logistics, freight audit, or claims processing is highly preferred.

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