Data Analyst Associate
Infor
Wrocław, PL
2 d. temu
source : Just Join IT

Your Responsibilities / Activities :

  • Identifies, analyzes and interprets trends or patterns in complex big data to provide answers to business questions as well as provide recommendations for action.
  • Interprets data and analysis results using various statistical techniques and tools.
  • Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and your recommendations so they activate upon them and make data driven decisions.
  • Takes ownership of the engineering, movement, transformation and preparation of data and data architecture within databases.
  • Collaborate with various partners to provide a holistic view of the analysis.
  • Measures and monitors results of applied recommendations and presents adjustments.
  • Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards.
  • Develop and provide recommendations to the data management team for additional data collection requirements ensuring the proposed methodology is viable.
  • Be confident and familiar with data analytical tools and methods to be able to work remotely in an effective way, along with collaborating with global team members located in multiple geographical locations.
  • What We Offer Employment contract Private healthcare, Sodexo LunchPass, MyBenefit Work in the best office in Wrocław, located in the city center with a relax zone.

    Language classes Friendly atmosphere Flexible working hours Your education, experience & skills which makes You The One :

  • Degree in Computer Science, Statistics, Operational Research, STEM, or similar, or has minimum 2 years experience within a related field
  • Proficiency with Transact-SQL for MS SQL Server Management Studio and SQL Databases is required
  • Scripting skills, preferably in Python or R Studio. Strong PANDAS skills are beneficial.
  • High proficiency in Microsoft Excel
  • Knowledge of statistical analysis and having strong analytical skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex big data sets to solve problems logically and methodically
  • Exceptional communication skills, in order to explain the mechanics behind data analysis to allow the business to understand the data needs to produce results
  • Fluent English skills
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