Data Analyst

Madar Logistics Platform; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading digital logistics platform in Saudi Arabia is seeking a skilled Data Analyst to enhance their operations through advanced analytics. The ideal candidate will have strong skills in Tableau, SQL, and data storytelling, combined with a bachelor's degree in data science. You will ensure data integrity, build interactive dashboards, and provide actionable insights to drive strategic decision-making. This position requires a detail-oriented, innovative thinker who thrives in a collaborative environment.

Qualifications

• 5+ years of proven experience in data analysis and visualization.
• Ability to solve complex business problems with diverse analysis techniques.
• Excellent communication skills to translate client requirements into technical solutions.

Responsibilities

• Ensure data accuracy, consistency, and reliability across all systems.
• Define and execute analytics strategies for the company.
• Build and maintain interactive dashboards using Tableau.
• Uncover business insights and identify growth opportunities.

Skills

Advanced proficiency in Tableau

Strong knowledge of SQL

Data manipulation tools

Statistical techniques

Storytelling skills

Education

Bachelor's degree in data science or related field

Tools

Excel

Job description

Madar is a leading Saudi digital logistics platform transforming transportation management across industries. It connects shippers, carriers, and logistics partners through a unified ecosystem that delivers visibility, efficiency, and automation. Madar enables seamless shipment execution, financial integration, and real-time tracking — redefining the future of logistics in the Kingdom and beyond.

Role Overview

We are seeking a highly skilled Data Analyst with advanced expertise in Tableau and a proven ability to translate complex data into actionable insights. The ideal candidate will excel in understanding client requirements, building analytical scenarios, and applying a wide range of data analysis techniques to support strategic decision‑making.

Key Responsibilities

Operational Data Integrity & Governance

• Ensure the accuracy, consistency, and reliability of operational data across all systems
• Establish structured validation and governance protocols to maintain data integrity

Dashboard Readiness & Data Availability

• Maintain the availability and performance of interactive dashboards
• Guarantee real‑time visibility into key metrics and operational trends

Enterprise Analytics Strategy & Leadership

• Define and execute company‑wide analytics strategies
• Establish governance frameworks and methodologies to transform raw data into strategic insights

Advanced Analytics & Intelligence Enablement

• Design and deploy predictive, prescriptive, and diagnostic models
• Uncover business insights, optimize operations, and identify growth opportunities

Data Infrastructure & Scalability

• Oversee the development of scalable data ecosystems, including ETL pipelines and cloud‑based environments
• Ensure secure and timely access to data across the enterprise

Dashboard Development & Automation

• Build and maintain interactive dashboards using Tableau and other BI tools
• Enable dynamic monitoring of performance and operational health through automation

Data Storytelling (Insights)

• Transform complex datasets into intuitive visual narratives
• Apply design principles to ensure clarity, consistency, and brand alignment in reporting

Platform Data Governance & Access Control

• Manage data‑related configurations within Madar platforms
• Oversee user access, conduct periodic reviews, and ensure alignment with security policies

Requirements

• Advanced proficiency in Tableau (dashboard design, calculated fields, parameters, data blending)
• Strong knowledge of SQL, Excel, and other data manipulation tools
• Familiarity with statistical techniques (regression, clustering, hypothesis testing, forecasting)
• Ability to apply diverse analysis techniques to solve complex business problems
• Excellent ability to understand client requirements and translate them into technical solutions
• Strong presentation and storytelling skills to communicate insights effectively
• Bachelor's degree in data science, statistics, computer science, business analytics, or related field
• 3-5 years of proven experience in data analysis and visualization

Key Attributes

• Detail‑oriented with a passion for data accuracy and clarity
• Innovative thinker who can design creative solutions for complex problems
• Strong organizational skills with the ability to manage multiple projects simultaneously
• Collaborative team player with proactive communication