Data Analyst - Business Intelligence and Cloud Analytics

ADSOUK is seeking a highly skilled Data Analyst with around three years of professional experience to join our growing team. In this role, you will be responsible for collecting, processing, analyzing, and visualizing complex datasets to provide actionable insights for business and operational decision-making. You will work closely with teams across digital marketing, cloud infrastructure, and client services to design data models, automate reporting pipelines, and deliver dashboards that reflect real-time business performance. The ideal candidate should have strong analytical capabilities, technical expertise across modern data analysis tools, and the ability to transform raw data into clear, accurate, and meaningful reports. You will also play a critical role in supporting predictive and prescriptive analytics initiatives at ADSOUK by working with structured and semi-structured data sources, APIs, and cloud-based data warehouses.

1. About three years of proven experience as a Data Analyst, Business Intelligence Analyst, or related role. 2. Expertise in SQL (MySQL, PostgreSQL, MS SQL) for data extraction, transformation, and optimization. 3. Proficiency in Python for data analysis with strong knowledge of libraries such as Pandas, NumPy, Matplotlib, Seaborn, and SciPy. 4. Experience with big data frameworks such as Spark or Hadoop is preferred. 5. Hands-on experience with BI and visualization tools including Power BI, Tableau, or Looker. 6. Familiarity with cloud-based data warehousing solutions like AWS Redshift, Azure Synapse Analytics, or Google BigQuery. 7. Understanding of ETL concepts and experience with tools such as Talend, Apache Airflow, or Informatica. 8. Knowledge of version control systems such as Git and ability to collaborate on data projects in team environments. 9. Strong foundation in statistics, probability, and data modeling techniques. 10. Excellent problem-solving skills with the ability to interpret data and communicate results clearly to both technical and business teams. 11. Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or a related field.

1. Work in a fast-paced environment with exposure to large-scale data projects across digital services, cloud infrastructure, and marketing analytics. 2. Hands-on experience with real client data from diverse industries, allowing you to strengthen your portfolio of technical case studies. 3. Opportunity to upskill with access to the latest cloud and analytics platforms including AWS, Azure, and Google Cloud. 4. Supportive culture that values innovation, experimentation, and knowledge sharing within a collaborative team setup. 5. Competitive pay structure with opportunities for performance-based bonuses and promotions. 6. Flexible working hours and options for hybrid or remote arrangements depending on project needs.