Dmitry Savostyanov

Dmitry Savostyanov

Demand Planner For Emea Region @ Schneider Electric

About Dmitry Savostyanov

Dmitry Savostyanov is a Demand Planner for the EMEA region at Schneider Electric, a position he has held since 2017. He has extensive experience in business analysis and data management, having worked for notable companies such as Microsoft, Oracle, and Hewlett-Packard.

Current Role at Schneider Electric

Dmitry Savostyanov serves as a Demand Planner for the EMEA region at Schneider Electric. He has held this position since 2017, contributing to the company's supply chain and demand planning strategies. His role involves analyzing market trends and customer demands to optimize inventory levels and ensure efficient product availability across the EMEA region.

Previous Experience at Microsoft

Before joining Schneider Electric, Dmitry worked at Microsoft as a Business Analyst from 2008 to 2011. During his three years in this role, he was based in Moscow and focused on analyzing business processes and providing insights to improve operational efficiency.

Career at Oracle

Dmitry Savostyanov worked at Oracle from 2011 to 2017 as a Territory Administrator and Business Analyst. His six-year tenure in Moscow involved managing territory operations and conducting business analysis to support sales strategies and enhance customer engagement.

Educational Background

Dmitry studied at Московский Государственный Университет Геодезии и Картографии (МИИГАиК), where he focused on optical instruments and systems, earning a higher education degree from 1989 to 1994. He furthered his education at Литературный Институт им. А.М. Горького, studying literary work from 2008 to 2010.

Work History in Data Analysis

Dmitry's career began at QC Data, where he worked as a Data Analyst and Office Manager from 1995 to 2000. He later held positions at Hewlett-Packard as a Business Analysis Specialist from 2001 to 2006 and at Cisco as a Channel Partner Specialist from 2006 to 2008, both roles contributing to his expertise in data analysis and business operations.

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