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Title

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Data Analyst in Excel

Description

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We are looking for a Data Analyst in Excel to join our team and support decision-making through effective data analysis. The candidate will use Microsoft Excel to process, analyze, and visualize large volumes of data, providing valuable insights to improve business processes. Responsibilities include creating complex formulas, using PivotTables, macros, and other Excel tools to extract meaningful data. We seek someone with excellent analytical skills, attention to detail, and the ability to work with large datasets. Experience with other data analysis tools is a plus. If you are motivated, organized, and passionate about data, we would be happy to welcome you to our team.

Responsibilities

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  • Collecting and processing data in Excel
  • Analyzing data using formulas and functions
  • Creating reports and visualizations with charts
  • Using PivotTables to summarize data
  • Automating tasks through macros and VBA
  • Checking and ensuring data quality
  • Collaborating with other departments to understand data needs
  • Maintaining databases and updating information
  • Identifying trends and patterns in data
  • Proposing solutions to improve business processes

Requirements

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  • Excellent knowledge of Microsoft Excel
  • Experience with functions, formulas, and PivotTables
  • Skills in handling large volumes of data
  • Good analytical and critical thinking skills
  • Experience with macros and VBA is a plus
  • Higher education in economics, mathematics, or IT
  • Ability to work in a team and communicate effectively
  • Attention to detail and precision
  • Problem-solving skills
  • Willingness to learn and develop

Potential interview questions

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  • What are your strongest Excel skills?
  • Do you have experience with automation through macros?
  • How would you approach analyzing a large dataset?
  • What types of reports have you created?
  • How do you handle incomplete or inconsistent data?
  • What other data analysis tools do you use?
  • How would you explain complex analysis to a non-technical colleague?
  • What are your methods for ensuring data quality?