Вакансия в архиве
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Discover a world of endless possibilities with KPMG. As a global powerhouse for 130 years, we've been supporting businesses to grow, our people to achieve and our communities to thrive.
Embark on a transformative journey where your ideas are valued, your voice is heard, and your potential is unleashed. Welcome to a world where your career aspirations become a reality - welcome to KPMG.
Key responsibilities:
· Managing data products development and implementation (DWH & BI):
o Development of a project plans (work, resources, purchases, etc.), project charter, backlog
o Development of project budget
o Development of document templates for key project artifacts (business requirements, dashboards / reports requirements, data model, source-to-target (S2T), integration requirements, administrator manual, user manual, testing strategy, test-cases, etc.)
o Assigning tasks to the teams of business analysts, architects, data engineers, BI team, …
o Task execution and quality control
o Preparing regular status reports on project execution for the top-managers
o Organization of trainings for users and administrators
o Organization of data solution testing, including user acceptance testing
o Organization of transition of project / product to support team
Requirements:
· Bachelor’s or Master’s / Specialist’s degree in technical sciences or business / economy / finance / project management with orientation on IT or additional courses / practice in IT
· Excellent verbal and written communication skills in English and Russian
· Strong project management skills
· Knowledge of data solution lifecycle and key documents, developed during the implementation
· 3+ year of experience in managing data products and / or work streams within data warehouse implementation / development projects
· 1+ year of experience working in banks or finance sector companies
· Knowledge of Uzbek language is a plus
· Certification in business analysis, data engineering or project management is a plus
· Experience in database administration, knowledge of SQL, python, ETL development and BI solution configuration is a plus