This Data Analyst role sits within the Operations function of a global technology company, supporting both Manufacturing and Logistics teams. The position is based in King Abdullah Economic City and focuses on transforming complex operational data into clear, actionable insights that drive informed decision-making across the business.
Key Responsibilities
- Gather business data and reporting requirements from stakeholders and business owners within the Manufacturing domain to monitor operational performance metrics.
- Analyze large and complex datasets to identify patterns, trends, and insights for operational teams.
- Transform, integrate, and improve data in line with evolving business requirements.
- Develop and maintain robust dashboards, reports, and visualizations that communicate findings to stakeholders at all levels.
- Present findings and recommendations to leadership, translating complex analyses into clear, actionable insights.
- Collaborate with cross-functional departments to define key performance indicators and automate reporting tools and techniques.
- Conduct advanced statistical analyses and modeling to support business forecasting and scenario planning.
- Ensure data integrity and accuracy by implementing best practices in data management and governance.
- Visualize performance data in standardized live dashboard formats.
- Connect to various systems and a data warehouse to deliver data in accessible and meaningful formats across devices including laptops, mobile, and display screens.
- Stay current with industry trends and best practices in data analytics and visualization.
Skills & Experience
- Bachelor's degree in Engineering, Supply Chain, Finance, Data Science, or a related field.
- 3–5+ years of experience in data analytics, reporting, visualization, or Python-based development.
- Advanced proficiency in Python or another general-purpose programming language.
- Working knowledge of Smartsheet, SAP, JIRA, and Tableau.
- Advanced Microsoft Office skills.
- Strong analytical and problem-solving skills with the ability to interpret complex data and surface actionable insights.
- Ability to approach data analysis from both top-down and bottom-up perspectives.
- Excellent communication and interpersonal skills with demonstrated ability to collaborate across functions.
- Strong project management capabilities, including task prioritization, timeline management, and resource allocation.
- Flexibility to adjust working hours including evenings and weekends as required.
Preferred Qualifications
- Advanced degree in a relevant field.
- Experience with complex data analytics in a manufacturing context.
- Proficiency in SQL and additional data visualization tools.
- Understanding of automotive interior market dynamics and performance reporting.
- Cost engineering experience.
- Experience in supplier relationship management.
- Knowledge of automotive industry trends and emerging technologies in interior components.
- Prior experience in a dynamic or start-up environment is an advantage.
- Experience working within an automotive OEM or Tier 1 supplier environment.
About Senna
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