BI & Business Analyst
İstanbul, TR
Qualifications
We are looking for a BI & Business Analyst to take part in Şişecam Headquarters – Business Intelligence Team. The ideal candidate would have the following qualifications:
- Bachelor’s degree in Industrial Engineering or related fields
- Minimum 5 years of experience in business analysis and business intelligence
- Solid experience in requirement gathering, business process analysis, and proposing actionable insights
- Strong analytical thinking; capable of profiling business processes and translating them into BI solutions
- Hands-on experience with BI tools such as SAP Analytics Cloud, Power BI, Looker, Grafana, Tableau
- Proficiency in SQL and data modeling concepts
- Good command of English, both written and verbal
- Strong communication, collaboration, and stakeholder management skills
Role Description
- Partner closely with business units (e.g., Sales&Marketing, Finance, Supply Chain) to understand their goals and proactively identify opportunities for data-driven improvements.
- Design and implement scalable data models and semantic layers that empower self-service analytics across the organization.
- Present insights and recommendations to stakeholders in a clear, compelling, and business-relevant manner.
- Develop and maintain advanced dashboards and analytics applications using Looker, Looker Studio, and SAP Analytics Cloud (SAC) to support strategic business decisions.
- Lead user acceptance tests (UAT) and ensure successful deployment and adoption of BI tools
- Collaborate with data engineering teams to ensure data pipelines and sources are optimized for reporting needs.
- Promote data literacy and analytical thinking across departments by providing training and support on BI tools and best practices.
- Continuously monitor BI platform performance and stay up to date with new features and innovations in Business Intelligence Tools.
Job Segment:
Business Analyst, Business Process, Business Intelligence, Data Modeler, Industrial Engineer, Technology, Management, Engineering, Data