Iulian Bahnean

• Constructed and maintained internal databases to track sales, production, and client relationships
• Implemented CRM solutions and automated reporting dashboards to simplify customer management
• Created structured data models to improve forecasting accuracy for production and sales trends
• Developed interactive Power BI dashboards tailored to various stakeholder groups (executives, sales teams, operations), enabling real-time visibility into KPIs, performance metrics, and market dynamics
• Led the digital transformation process, integrating data-driven decision-making into business operations
• Created a centralized client registry and designed segmentation strategies using SQL-based tools
• Simplified bid and tender management by introducing structured data storage and analytics
• Led business development initiatives by identifying new market opportunities and cultivating client relationships
• Managed public tenders, placed competitive bids, and ensured compliance with industry standards
• Conducted market research to align sales initiatives with evolving industry trends and client needs
• Negotiated supplier and customer contracts to maximize profitability and operational efficiency
• Collaborated closely with cross-functional teams to iterate and improve dashboard design for usability and relevance to business goals
• Provided training and documentation to non-technical users to ensure adoption and effective use of Power BI dashboards
• Key Achievements:
  Increased company revenues through data-driven sales optimizations and selective client acquisition
  Implemented data management systems that enhanced production workflow efficiency and improved sales tracking
• Technologies & Tools: Power BI, SQL, CRM Systems, Data Analytics, Python, Business Intelligence Tools, ERP Systems, Sales Forecasting Models

• Built automated data pipelines using SQL and Python
• Developed and maintained relational databases to ensure data cleanliness and performance optimization
• Processed large volumes of data using statistical packages to extract actionable insights for business decision-making
• Created interactive dashboards in Spotfire and Power BI to visualize key business metrics, identify trends, and support operational and strategic decisions
• Implemented data visualization techniques to improve reporting clarity using Power BI, Tableau, and Spotfire
• Collaborated with business stakeholders to customize dashboards based on functional needs (finance, operations, sales)
• Worked with developers to optimize ETL processes and enhance data warehouse performance
• Ensured strong data governance by implementing quality controls and security best practices within data systems
• Integrated multiple data sources (SAP, Oracle, Salesforce) into a unified reporting and analytics framework
• Designed and deployed self-service dashboards, enabling non-technical users to explore data independently and make informed decisions
• Technologies & Tools: SQL, Python, Power BI, Spotfire, Tableau, SAP, Oracle, Microsoft SQL Server, SharePoint, Business Objects, Salesforce

Integrations as Configuration Analyst - Product Master Data at Mercedes-Benz, responsibilities included managing and streamlining the product master data in a way to support manufacturing and sales processes.

• Managed and streamlined product master data across various global sales markets to support manufacturing and sales processes
• Developed and maintained configuration rules, algorithms, and plausibility checks for automated systems
• Performed data quality validation and verification tests to confirm system accuracy and consistency
• Streamlined data processing operations to reduce manual errors and improve operational efficiency
• Integrated product data across platforms using API connections and custom Python/SQL scripts
• Collaborated with development teams to troubleshoot system issues and implement process improvements
• Worked closely with product management teams to ensure data alignment across internal systems
• Identified and resolved data discrepancies to maintain a high level of data quality
• Implemented standardized data entry and management procedures to simplify operations
• Trained staff on data management tools and best practices for improved compliance and usability
• Monitored data trends and provided insights and suggestions for continuous improvement
• Designed and developed Power BI dashboards to visualize product data accuracy, system performance, and cross-platform alignment
• Enabled stakeholders across engineering, sales, and IT departments to access real-time insights through customized Power BI reports
• Translated raw configuration data into intuitive visual reports, helping decision-makers track issues and optimize configuration logic
• Technologies & Tools: Power BI, SQL, Python, SAP, Oracle, Microsoft SQL Server, Data Validation Tools, API Integration