We are looking for a highly analytical and driven Staff Data Analyst to join our team in Riyadh, KSA. In this role, you will be responsible for turning data into actionable insights that drive business decisions. You will collaborate with cross-functional teams, including Marketing, Operations, Product, and Finance, to understand business needs and deliver high-quality reporting and analytics. If you are passionate about data and thrive in a fast-paced environment, this role is for you!
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Location
Riyadh, Saudi Arabia
Work Conditions
- Job Type: Temporary
- Job Category: Data & Analytics
- Remote Working: On-Site
Responsibilities
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Data Analysis & Reporting:
- Develop and maintain dashboards, reports, and KPIs to monitor business performance across various departments.
- Analyze large datasets to uncover trends, patterns, and actionable insights that support decision-making.
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Stakeholder Collaboration:
- Work closely with business stakeholders to gather requirements, understand objectives, and provide meaningful data insights.
- Present insights and recommendations to non-technical stakeholders in a clear and compelling way.
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Data Modeling & ETL Processes:
- Create and maintain data models to support analytical and operational processes.
- Develop and optimize ETL processes to ensure data is accessible and up-to-date in BI systems.
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Performance Optimization:
- Identify and implement process improvements and best practices within BI workflows.
- Collaborate with the IT and Data Engineering teams to ensure data accuracy and system reliability.
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Market & Competitive Analysis:
- Conduct in-depth analysis of market trends and competitive landscape to provide strategic insights.
- Generate reports and actionable insights for the leadership team based on findings.
Requirements
- Bachelor's or Master's degree in Business, Economics, Computer Science, Statistics, or a related field.
- 7+ years of experience in Product Analytics, Data Analytics, Data Science or BI.
- Proficiency in SQL and strong experience with data visualization tools such as Tableau, Power BI, or Looker.
- Strong experience with data warehousing concepts and working with large datasets.
- Excellent Excel skills and familiarity with statistical tools (e.g., R, Python).
- Strong problem-solving skills with a keen eye for detail.
- Ability to present complex data insights clearly to both technical and non-technical audiences.
