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Project Overview:

We are looking for a dedicated and inspired Data Analyst/BI Engineer to join the Talent Management team in the Talent Management Department. The main goal of the cooperation is to build a function-related report stack that will drive management decisions and increase the efficiency of business processes at the Talent Management Function.  

Рекрутерка
Ганна Ігнатьєва
Responsibilities:
  • Gathering and analysis of requirements for data processing and reporting, tight collaboration with stakeholders during report development. 
  • Building and supporting custom Power BI reports and dashboards. 
  • Conducting solution demos, collaborating with business and explaining results. 
  • Continuously monitoring the efficiency of existing BI solutions and relevance to ongoing business needs, providing recommendations for improvements. 
  • Running ad-hoc research and analysis. 
  • Be proactive and propose new ideas regarding analytical services. 
  • Collaborate with the corporate analytic team regarding data accuracy, and reconsolidation across levels of reporting.

 As a member of a Talent Management BI team, you will work with: 

  • VP Talent Management. 
  • Heads of Talent Management Departments. 
  • Talent Management process owners. 
  • Corporate Analytics team.   
Requirements:
  • 5+ years of experience in data, reporting, and analytical problem solving. 
  • Strong SQL skills and experience in working with a data warehouse. 
  • Understanding ways of data extraction and exchange (JSON, XML, CSV, API). 
  • Hands-on, practical experience in relational databases, data modeling, and data visualization. 
  • Advanced experience in building reports in Power BI tool (DAX, Power Query, Role-based modelling). 
  • Expertise in MS Excel: creating formulas, pivot tables, charts, reports, and dashboards. 
  • Ability to clearly and concisely define problems.  
  • Developing BI solutions in line with the levels of requirements.  
  • Understanding statistical analysis methods.
  • Critical thinking. 
  • Ability to work with ambiguity and fast-changing environment. 
  • Advanced English.

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