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Data Analyst

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: MAKAN for Parking Solutions
Full Time position
Listed on 2026-09-24
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Engineering
Salary/Wage Range or Industry Benchmark: 110000 - 160000 SAR Yearly SAR 110000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Data Analyst | MAKAN for Parking Solutions |

Position Summary

  • MAKAN for Parking Solutions, a premier Saudi enterprise specializing in smart parking management and innovative operational solutions, is seeking a talented and motivated Data Analyst to join our expanding team in Riyadh, Saudi Arabia.
  • This full-time position requires a dedicated professional capable of transforming complex datasets into actionable business insights and optimizing modern parking operations through advanced data analytics.
  • You will play a critical role in developing dynamic dashboards, automating data collection workflows, and driving data-backed strategic decisions across multiple operational departments.
  • The ideal candidate brings hands‑on expertise in Power BI, Python-based web scraping, and relational data management, combined with a strong analytical mindset.
  • Operating within a fast-paced technology-driven environment, you will bridge the gap between raw data and practical business execution to enhance overall operational efficiency.
  • MAKAN provides a collaborative, forward‑thinking workplace where your analytical contributions directly shape the future of smart urban mobility in Saudi Arabia.
  • We welcome passionate analysts eager to leverage modern data tools and automation frameworks to solve real‑world challenges in the parking management sector.
Detailed

Job Description
  • As a Data Analyst at MAKAN for Parking Solutions, your primary responsibilities encompass data cleaning, exploratory analysis, automated collection, and comprehensive report generation.
  • You will design, build, and maintain interactive Power BI dashboards and executive reports to monitor business performance, operational KPIs, and facility metrics.
  • Utilizing Python, you will develop robust web scraping scripts, data pipelines, and automation routines to streamline information gathering from diverse digital sources.
  • Your daily duties involve handling multiple structured and unstructured data sources, ensuring absolute data integrity, and conducting rigorous quality assurance checks.
  • You will collaborate closely with cross‑functional teams to translate evolving business requirements into practical, scalable technical solutions and automated reporting workflows.
  • Working with relational databases, you will apply basic SQL queries to extract, transform, and load data efficiently for analytical modeling.
  • Additionally, you will participate in continuous process improvement initiatives, identifying operational bottlenecks and recommending data‑driven optimization strategies.
Key Responsibilities
  • Clean, analyze, and interpret complex datasets to generate actionable business insights and operational recommendations.
  • Develop, maintain, and enhance interactive Power BI dashboards, visualizations, and periodic executive reports.
  • Use Python for web scraping, automated data collection, processing, and workflow automation.
  • Integrate and manage multiple data sources to ensure high data accuracy, consistency, and reliability.
  • Analyze business and operational performance metrics to support strategic planning and decision‑making.
  • Automate repetitive reporting cycles and data collection processes to increase departmental efficiency.
  • Collaborate proactively with different business units to design and deploy data‑driven solutions.
  • Apply basic SQL queries to query relational databases and extract relevant business information.
  • Maintain clear documentation of data models, scraping scripts, and dashboard architectures.
Required Qualifications & Skills
  • 1+ year of professional experience working as a Data Analyst or in a closely related analytical role.
  • Good practical experience with Power BI and enterprise dashboard development.
  • Solid working knowledge of Python, specifically focusing on web scraping libraries and data…
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