Data Analyst: Power BI & Python Automation

MAKAN for Parking Solutions; Riyadh; On-site; SAR 110,000 - 160,000; Full time

Job summary

MAKAN for Parking Solutions is seeking a Data Analyst in Riyadh to transform complex datasets into actionable insights and optimize parking operations through advanced analytics.

You will develop interactive Power BI dashboards, automate data collection workflows with Python, and collaborate with cross‑functional teams to drive data‑driven decisions across departments, ensuring data integrity and scalable reporting.

Qualifications

• Proficiency in Power BI for dashboard development and monitoring.
• Python-based web scraping and data collection experience.
• Strong Excel skills for advanced data manipulation and reporting.
• Basic SQL knowledge for querying relational databases and data extraction.
• Analytical mindset with ability to translate business needs into technical solutions.
• Excellent communication and attention to detail; able to work with cross‑functional teams.

Responsibilities

• Clean, analyze, and interpret data to generate actionable insights and recommendations.
• Design, build, and maintain Power BI dashboards and executive reports.
• Develop Python scraping scripts and data pipelines; automate data collection workflows.
• Ensure data integrity across multiple sources and perform quality checks.
• Collaborate with stakeholders to translate requirements into scalable analytics solutions.
• Apply basic SQL queries to pull data from relational databases for analysis.
• Document data models, scripts, and dashboard architectures.

Skills

Power BI

Python (web scraping)

Excel

SQL basics

Analytical thinking

Communication skills

Tools

RESTful API integrations

Microsoft Fabric

Power Automate

Job description

MAKAN for Parking Solutions is seeking a Data Analyst in Riyadh to transform complex datasets into actionable insights and optimize parking operations through advanced analytics.

You will develop interactive Power BI dashboards, automate data collection workflows with Python, and collaborate with cross‑functional teams to drive data‑driven decisions across departments, ensuring data integrity and scalable reporting.