Senior Business Analytics Specialist İş İlanı

What You Will Do? Design and build advanced dashboards and data products using Qlik Sense / Qlik Cloud to support strategic decision making Translate complex business requirements into scalable data models and analytical solutions Drive data-driven decision making across key domains such as customer analytics, operational efficiency and pricing Develop and deliver advanced analytics use cases including forecasting, segmentation and predictive modeling Collaborate closely with business stakeholders to turn data into clear, actionable insights Enable and promote self-service analytics capabilities across business teams Guide and support users in ad-hoc analysis to answer critical business questions Contribute to the design and evolution of data warehouse and ETL processes Support and actively contribute to Hedef Filo’s data & AI transformation journey Qualifications Bachelor’s degree in Engineering, Statistics, Computer Science or related fields 6+ years experience in Business Intelligence, Data Analytics or related roles Strong hands-on experience with: Qlik Sense / Qlik Cloud* SQL and data querying ETL tools (SSIS or similar) Solid understanding of: Data modeling Data warehouse (DWH) concepts Experience or exposure to: Predictive analytics and statistical modeling Machine learning applications Python (preferred) Proven ability to work with business stakeholders and translate needs into data solutions Strong analytical thinking and problem-solving skills Excellent communication and storytelling skills with the ability to explain complex data insights clearly Ability to manage multiple priorities in a fast-paced environment Job Description Lead the development and continuous improvement of BI and reporting solutions Work closely with business units to understand requirements and deliver high-impact analytics solutions Design and maintain reports, dashboards and analytical models within Qlik and DWH environment Ensure data accuracy, consistency and usability across reporting layers Manage and prioritize ad-hoc reporting and analysis requests Optimize and maintain ETL pipelines and SSIS processes Support the implementation of advanced analytics capabilities within the organization Contribute to building a data-driven culture by promoting best practices and governance standards Act as a bridge between technical teams and business stakeholders