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? Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.
With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.
By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.
? For our Client we are looking for Data Analyst - 2 days at the office in Wroclaw?
✔ We offer:
Contact person: nicola.urbanska@eworkgroup.com
Client code: AV01
✔ Basic Requirements:
? Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.
With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.
By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.
? For our Client we are looking for Data Analyst - 2 days at the office in Wroclaw?
✔ We offer:
Contact person: nicola.urbanska@eworkgroup.com
Client code: AV01
,[Participate in data and finance-related projects delivered on cloud platforms , Support data validation and ensure delivered data meets business quality expectations , Contribute to data modeling activities (e.g. logical and dimensional models) , Analyze financial datasets and support definition of KPIs and business rules , Collaborate with Data Engineers and Product Owner on data requirements and user stories , Assist in identifying data issues and performing root cause analysis , Use basic knowledge of Databricks to verify and analyze data Requirements: Data modeling, SQL, PowerBI, Agile, Databricks, Azure DevOps Additionally: Sport Subscription, Private healthcare, International environment, Life insurance.