Data Analyst Shipping & Warehouse

Overview

On Site
$60 - $65
Contract - Independent
Contract - W2
Contract - 24 Month(s)

Skills

Warehouse
Shipping

Job Details

Lead Data Analyst / Engineer

Sunnyvale, CA (Onsite)

Long Term

Skill Assessment:

Total experience: 10-12+ year

Domain (Critical & Must Have): 5+ Years

  • Experience in shipping and fright domain
  • Experience in Shipping / Carriers / Modes of delivery / Metrics
  • Experience in Logistics, Procurement and Invoice
  • Experience in Transport warehouse operations

Note:

  • All points mentioned above are must to have in resume
  • Apple experience is preferred.
  • Try to have resumes not more than 3 pages . Request to update candidates on basis of your assessment
  • Experience noted should be in recent and latest
  • Try to get word document so that we can re move contact info when sharing with client

Job Description

What You will Do:

  • Experience in shipping and fright domain
  • Experience in Shipping / Carriers / Modes of delivery / Metrics
  • Experience in Logistics, Procurement and Invoice
    Experience in Transport warehouse operations
  • Integrate Shipping and fright tracking / order fulfillment using Snowflake for insights
  • Build data pipelines that clean, transform, and aggregate data from disparate sources
  • Perform analysis for stakeholders and other non-technical professionals. Build models to generate actionable insights for making efficient business decisions.
  • Perform data validation checks, identify and rectifying errors, and maintaining a quality standard throughout the data's lifecycle.
  • Explore datasets to identify trends, patterns, and insights.

What You Will Bring:

  • Create and improve data visualization tools like Tableau
  • Work with Snowflake & it s built in infrastructure, SQL, Python, Excel, & Numbers
  • Design, develop, and maintain scalable and forward-looking data models using custom Python, DBT, and Airflow solution to obtain the right mix of ETL/ELT pipelines
  • Processes to extract and integrate data from a variety of sources, including third-party tools, internal/external application databases, and internal/external AI/ML service APIs.
  • Monitor KPIs / Analytics
  • SQL / Python / DBT
  • SAP Business Objects
  • Data related to ML and Data science
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About Laiba Technologies LLC