Full Time/Onsite in Riyadh, Saudi Arabia
Position Objectives
- Deliver actionable insights through advanced data analysis to support strategic decision-making and business growth.
- Develop and maintain efficient data pipelines and visualization tools to ensure accurate and accessible reporting.
- Enhance data-driven processes by leveraging analytics, statistical modeling, and automation for operational excellence.
Job Description & Responsibilities
- Perform data exploration, cleaning, and transformation to build high-quality datasets for analysis.
- Design and develop interactive dashboards and reports using BI tools (e.g., Power BI, Tableau) to communicate insights effectively.
- Conduct statistical analysis and predictive modeling to identify trends, patterns, and business opportunities.
- Build and optimize ETL pipelines to ensure seamless data flow from diverse sources to analytics platforms.
- Collaborate with cross-functional teams (e.g., business, IT, data science) to align analytics solutions with organizational goals.
- Monitor and report on KPIs, providing regular performance updates to stakeholders through clear visualizations and presentations.
- Automate repetitive analytics tasks to improve efficiency and scalability of reporting processes.
- Ensure data integrity, security, and compliance with organizational and industry standards.
- Support ad-hoc analysis requests to address specific business challenges or opportunities.
- Insight Delivery: Timely and accurate delivery of actionable insights and reports to stakeholders.
- Data Pipeline Efficiency: Reduction in data processing time and improved reliability of ETL workflows.
- Stakeholder Satisfaction: High adoption and positive feedback on dashboards and analytical outputs.
Qualifications & Experience
- Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
- 5-10 years of experience in data analytics, business intelligence, or a related role.
- Proficiency in Python (pandas, numpy), SQL, and BI tools (e.g., Power BI, Tableau).
- Strong knowledge of ETL processes, data modeling, and database management (e.g., MySQL, PostgreSQL).
- Experience with statistical analysis, predictive modeling, and data visualization techniques.
- Familiarity with cloud platforms (e.g., AWS, Azure) and data pipeline tools (e.g., Apache Airflow).
- Ability to translate complex data insights into clear, actionable recommendations for non-technical stakeholders.
- Strong problem-solving skills with a focus on optimizing data workflows and processes.
- Excellent communication and presentation skills to convey insights effectively.
- Collaborative mindset to work with cross-functional teams and align on business objectives.
- Adaptability to handle evolving tools, frameworks, and business requirements.
- English fluency (mandatory); Arabic (preferred).