Data Analyst at Madar

Riyadh, Riyadh Region, Saudi Arabia -

Full Time

Start Date

Immediate

Expiry Date

28 Mar, 26

Salary

0.0

Posted On

28 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Tableau, SQL, Excel, Data Analysis, Data Visualization, Predictive Modeling, Data Governance, Data Storytelling, ETL, Statistical Techniques, Client Requirements, Presentation Skills, Organizational Skills, Collaboration, Problem Solving, Automation

Industry

Wholesale Building Materials

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. • 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.

Responsibilities

The Data Analyst will ensure the accuracy and reliability of operational data while maintaining interactive dashboards for real-time visibility. They will also define analytics strategies and develop predictive models to uncover business insights.