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Logistics Analyst

ABYAT

Dammam

On-site

SAR 60,000 - 80,000

Full time

Yesterday
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Job summary

A leading retail company in Saudi Arabia is seeking a Logistics Analyst to analyze logistics data, improve operations efficiency, and create data dashboards for stakeholders. The ideal candidate will have a Bachelor's degree in a relevant field and proficiency in data analysis software like Excel and SQL. You'll collaborate with various departments to enhance logistics processes while monitoring key performance indicators.

Qualifications

  • Bachelor's degree in a relevant field required.
  • Proven experience as a Data Analyst, preferably in logistics.
  • Proficiency in data analysis software such as Excel, SQL, Tableau.

Responsibilities

  • Collects and analyzes data related to logistics operations.
  • Creates dashboards to communicate data findings to stakeholders.
  • Collaborates with various departments to improve logistics processes.

Skills

Data analysis
Statistical techniques
Problem-solving
Communication skills

Education

Bachelor's degree in Data Analyst, Supply Chain Management, Data Science, or Business Analytics

Tools

Excel
SQL
Tableau
Power BI
Job description

Join the Team at ABYAT - Your Gateway to Retail Excellence!

About us

Are you ready to be part of the largest retail store in the Middle East? ABYAT, spanning an impressive 22,000 square meters and offering over 22,000 products, is your one‑stop destination for all things home improvement and more. From elegant tiles and captivating wallpapers to state‑of‑the‑art lighting solutions and stylish kitchen fixtures, we pride ourselves on offering a diverse array of top‑quality products under one roof.

Established locally with a vision for excellence, ABYAT has been setting benchmarks since its inception in September 2005. With an unwavering focus on our customers, we've crafted an experience that revolves around their needs, from our meticulously designed store layouts to our unparalleled service offerings.

Expanding beyond our roots in Kuwait, ABYAT is now making waves in Saudi Arabia and setting our sights on Qatar and the UAE. As we continue to grow, we're seeking passionate individuals to join our dynamic team and contribute to our journey of success.

Position

Logistics Analyst

Type3>

Full‑time

About the Role

The Logistics Data Analyst collects, processes, and analyzes data related to logistics operations and performance. They are responsible for using various tools and methods to identify patterns, trends, and insights that can help improve the efficiency, effectiveness, and quality of warehousing operations.

Job Description
Data Gathering and Cleaning
  • Gather and clean data from various sources, such as databases, spreadsheets, reports, or web pages.
  • Identify and troubleshoot data issues or discrepancies to ensure data accuracy and integrity.
Statistical and Analytical Techniques
  • Apply statistical and analytical techniques to data to identify trends, patterns, and opportunities for improvement in logistics operations.
Dashboard and Visualization Creation
  • Create and maintain Monthly, Weekly, and Daily Dashboards and Visualizations to communicate data findings, KPIs, and recommendations effectively to stakeholders.
Collaboration and Communication
  • Collaborate with other departments, including Operations, Procurement, and Customer Service, to understand data needs and provide analytical support to improve logistics processes.
Research and Implementation
  • Research and implement best practices and new technology for logistics management to enhance operational efficiency.
KPI Evaluation
  • Monitor and evaluate KPIs such as inventory levels, budget adherence, Field Service Tickets, and Customer Orders to track performance and drive continuous improvement initiatives.
Qualifications/Requirements
  • A Bachelors degree in data analyst, supply chain management, data science, business analytics or a related field.
  • Proven Experience as a Data Analyst, preferably in the logistics or supply chain domain
  • Proficiency in data analysis software and tools such as Excel, SQL, Tableau or Power BI
  • Ability to work with large and complex data sets and databases
  • Storing analytical, problem-solving and critical thinking skills
  • Excellent Communication and presentation skills
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