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Nataliia Yerosheva
Business Analyst @Kuehne+Nagel
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WORK HISTORY
Business Analyst @Kuehne+Nagel
Wrocław, PL
Working in a project-based team specialized in providing 4PL services for one of the Top Diabetes Devices Companies, I perform data analytics to support various KN Integrated Logistics services. This involves providing actionable insights to senior management and the customer while supporting a data-centric service concept.I quickly gained and continue to utilize advanced proficiency in developing advanced data visualizations using Tableau (Desktop, Server) and reports through SAP Business Objects (webi). Using SQL (DQL commands) for customized data querying for both data visualization and data mining.My expertise includes analyzing and visualizing:Transactional data (orders, shipments, billing, etc.)Operational performance (SLA, pro-activeness, etc.)Delivery performance (OTIF, OTP/OTD, non-conformity, etc.)Delivery events monitoring (provision timeliness, completeness),Activity-based costingFurthermore, I support other functions and/or projects with broad expertise in advanced Excel, OTM set-up, rates, invoicing, performance measurements, etc.
EDUCATION
Uniwersytet WSB Merito Wrocław
Master's degree, Supply Chain Analytics
Międzynarodowa Wyższa Szkoła Logistyki i Transportu
Licentiate degree, Trade and Distribution Logistics
ABOUT NATALIIA YEROSHEVA
Currently focused on the Data Analytics path leveraging my domain knowledge in Supply Chain, being curious about Data and valuable insights it could bring into better understanding of how business works from the inside. Strong \"can-do\" mindset combined with ability to quickly learn and adapt to new challenges brings me beneficial ability to succeed and become an expert in any role. Always diving deep into details first, which brings me better wide picture understanding of a business case and helps to find best matching solution.With my extensive experience in supply chain management, continuous improvement and process optimizations projects I have demonstrated strong problem-solving skills, critical thinking and a proactive approach to implementing process optimizations, automating tasks, and ability to innovate and drive efficiency.
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