Remote Operations Analyst II - Overnight Data & Logistics

TEKsystems

Atlanta (GA)

Remote

USD 34,000 - 49,000

Full time

5 days ago
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Benefits offered by this job

Weekly pay
Benefits starting day one
Fully remote role

Job summary

TEKsystems is seeking an Operations Analyst II with SQL experience for a fully remote overnight role. The position requires weekend shifts and offers weekly pay, with benefits starting on the first day of each month and potential raises after six months based on performance.

Responsibilities include handling high-volume delivery order scheduling, communicating with Ops, and performing data-driven trend analysis using Excel/Google Sheets.

Qualifications

  • Basic proficiency in Excel/Google Sheets (mandatory).
  • Understand Excel formulas, data entry.
  • Comfortable with Pivot Tables and cleaning data.
  • Fast-paced environment requiring quick decisions and escalation when needed.
  • Strong project management, organization and communication skills.
  • Detail oriented.

Responsibilities

  • Delivery Order Re-scheduling / Assignment Support for high-volume partners.
  • Communicate with Ops stakeholders about orders not received, canceled, or returned; update in Google Sheets.
  • Report damaged packages to Operations for Merchant sharing.
  • Monitor end-of-day order assignments across time zones and identify unassigned orders.
  • Scrape unassigned orders and take action per merchant preference.
  • Consolidate data and share trends with Ops for action plans.

Skills

Excel
Google Sheets
Pivot Tables
Data cleaning
Communication
Project management
Attention to detail

Tools

Google Sheets

Job description

TEKsystems is seeking an Operations Analyst II with SQL experience for a fully remote overnight role. The position requires weekend shifts and offers weekly pay, with benefits starting on the first day of each month and potential raises after six months based on performance.

Responsibilities include handling high-volume delivery order scheduling, communicating with Ops, and performing data-driven trend analysis using Excel/Google Sheets.

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