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Elena Shakhbanova
Business Analyst – Gett
Professional Background
Elena Shakhbanova is a talented professional with a robust background in human resource management, data automation, and supply chain and procurement practices. Her diverse experience spans various roles, primarily focusing on HR and data analysis within leading firms in Russia. With a proven track record in optimizing operations and enhancing workforce efficiency, Elena stands out as a dynamic force in the landscape of human resources and data management.
Elena began her career as a Trainee at Sberbank Leasing, where she gained a foundational understanding of financial operations and leasing processes. This role provided her with essential insights into corporate finance and the importance of data in decision-making. She then transitioned to GE Human Resources as an IT Recruiter. During her time in this position, she honed her skills in recruitment processes, contributing to the identification and acquisition of top-tier talent in the technology sector.
Her trajectory continued at Hays as an Associate within the Supply Chain & Procurement practice, where she utilized her recruitment expertise to match skilled professionals with organizations in need of supply chain and procurement solutions. This role not only expanded her knowledge of the industry but also emphasized the critical role that efficient supply chain management plays in business success.
At Gett, Elena embraced the roles of Data Automation and Analysis Specialist and Adoption Specialist. In these positions, she showcased her aptitude for data-driven decision-making and user adoption strategies, significantly enhancing the company’s operational efficiencies. Her ability to analyze complex datasets and derive actionable insights has made her a vital asset within the organization, enabling her to contribute meaningfully to projects across multiple departments.
Education and Achievements
Elena Shakhbanova graduated with a Bachelor's degree in Human Resource Management from the prestigious Russian Economic University named after G.V. Plekhanov. This institution, known for its rigorous curriculum and excellence in teaching, prepared her well for her career, equipping her with essential knowledge and skills in HR practices, management principles, and organizational behavior.
Throughout her educational journey, Elena cultivated a deep understanding of human relations in the workplace, which later informed her professional approaches to talent acquisition, workforce management, and organizational development. Her commitment to professional development is evident in her pursuit of excellence and continuous learning in an ever-evolving field.
Notable Achievements
Elena's career thus far has been marked by several notable achievements. At Gett, her contributions as a Data Automation and Analysis Specialist led to significant improvements in workflow efficiencies and data management processes. Her expertise in data analysis allowed her to identify potential areas for operational enhancement, which positioned her as a key player in strategic initiatives.
As an Adoption Specialist, she played a critical role in ensuring successful implementation of new software and technologies across teams, promoting innovation and encouraging team members to embrace change. Elena’s ability to foster collaboration and communication among diverse teams has been a cornerstone of her success.
In her previous roles at Hays and GE, she was recognized for her proficiency in matching skilled candidates with the right job opportunities, which not only reinforced her reputation as a standout recruiter but also contributed to the efficiency and effectiveness of recruitment processes in the organizations she served.
Elena’s background showcases her exceptional ability to intertwine human resources with data-driven strategies, making her a proficient professional in her field. Her proactive approach to career development and her commitment to excellence illustrate a promising trajectory filled with continuous growth and significant contributions.
