Business Intelligence Specialist İş İlanı

Bioeksen R&D Technologies , a company developing innovative solutions in molecular diagnostics, is looking for a Business Intelligence Specialist to join our growing organization. Bioeksen R&D Technologies is a biotechnology company focused on molecular diagnostic technologies , established in 2014 at Istanbul Technical University Technopark with the support of the KOSGEB R&D and Innovation Program. Since its foundation, the company has completed 32 R&D projects and developed and launched over 180 products in the fields of human health, animal health, and food safety. At Bioeksen, we believe data should do more than generate reports. As we continue to strengthen our digital transformation journey, we are looking for a Business Intelligence & Data Analytics Lead who can improve data quality at its source, transform fragmented data into reliable and analysis-ready information, and help build a scalable and dependable BI infrastructure.. Key Responsibilities Data Quality & Infrastructure Assess existing data sources, structures, data flows, and reporting processes across the organization. Perform data profiling and identify data quality gaps, inconsistencies, missing data, duplication, and structural issues. Lead data cleansing, validation, standardization, transformation, mapping, and reconciliation activities. Identify root causes of data quality issues and work with relevant teams to implement sustainable improvements at source-system and process level. Review data structures, master data, coding standards, and data-entry practices within Microsoft Dynamics 365 Business Central and other enterprise systems. Contribute to the design and development of centralized data models, reporting structures, data warehouse architecture, and ETL/ELT processes. Establish common data definitions, reporting standards, KPI structures, and calculation methodologies. Data Operations & Reliability Ensure that business-critical data pipelines and reporting processes operate reliably and within agreed service levels. Monitor data load completion, freshness, availability, and reporting readiness. Implement monitoring, failure alerting, and error-handling mechanisms across ETL/ELT processes. Establish reconciliation and validation controls between source systems and reporting/data warehouse layers. Maintain appropriate load logs, audit trails, and data lineage to ensure reporting figures are traceable and explainable. Coordinate root-cause analysis and corrective/preventive actions for recurring data or reporting issues. Business Intelligence & Analytics Develop dashboards, management reports, and analytical solutions using Microsoft Power BI. Build and maintain data models using Power Query, DAX, SQL, and other relevant technologies. Analyze reporting and analytics requirements from production, sales, finance, quality, logistics, human resources, and other departments. Translate business needs into clear data, reporting, and technical requirements. Develop reporting solutions for departmental and corporate KPI monitoring. Generate meaningful insights, trends, anomalies, and actionable findings that support management decision-making. Ensure dashboards and reports are based on accurate, validated, and consistent data. Business Partnership & Coordination Work closely with business units, IT teams, ERP consultants, software developers, and solution partners. Contribute to ERP, software, automation, and digital transformation projects from a data and reporting perspective. Evaluate and prioritize data, reporting, and analytics requests based on business impact, urgency, and dependencies. Contribute to and coordinate the Business Intelligence & Data Analytics roadmap. Coordinate external consultants and solution partners involved in BI, data, and ERP-related projects. Qualifications Bachelor’s degree in Industrial Engineering, Management Information Systems, Computer Engineering, Software Engineering, Statistics, Mathematics, or a related field. Minimum 5 years of hands-on experience in Business Intelligence, Data Analytics, Data Management, Reporting, Data Engineering, or related roles. Strong hands-on experience with Microsoft Power BI, SQL, DAX, and Power Query . Advanced Microsoft Excel skills. Proven experience working with fragmented, inconsistent, or non-reporting-ready data. Hands-on experience in data cleansing, validation, standardization, transformation, and data quality improvement. Experience in data profiling and identifying data quality gaps, inconsistencies, and root causes across source systems. Strong knowledge of data modeling, ETL/ELT processes, data integration, and reporting architectures. Practical experience with data warehouse structures, centralized data models, or enterprise reporting platforms. Experience in monitoring data pipelines and resolving data reliability or reporting infrastructure issues. Understanding of data lineage, reconciliation controls, audit trails, and operational monitoring principles. Experience working with ERP systems and multiple enterprise data sources. Ability to translate business requirements into technical and analytical solutions. Strong analytical thinking, problem-solving, stakeholder management, and prioritization skills. Hands-on, proactive, structured, and results-oriented working style. Good command of English. Preferred Qualifications Experience with Microsoft Dynamics 365 Business Central . Experience in data warehouse, ERP implementation, or enterprise data platform projects. Knowledge of Master Data Management and data governance principles. Experience with Power Automate, Power Apps, Python, APIs, or system integrations. Experience in manufacturing, biotechnology, healthcare technology, medical device, or other regulated industries. At Bioeksen, we know that what makes us strong is our diversity. Regardless of gender, age, ethnicity, belief, disability status, language, culture, or lifestyle, we value all applications with an equal and fair approach. We believe in the unifying power of science and adopt an equitable approach to ensure and sustain an inclusive and respectful work environment. Location: Nurol Life, Ayazağa – Istanbul Work Model: On-site / Full-time