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Position: Data Analyst
Institution: Thermo Fisher Scientific
Location: Brno, Czech Republic
Duties: Collect, organize, and perform analysis on relevant data to determine the efficiency/reliability/sustainability and profitability of our products and/or business processes; Analyze data to determine the root cause of issues (e.g. business process issues, data quality, etc.) or areas of improvement and communicate findings to stakeholders; Communicate and collaborate with users to analyze business needs and translate into functional reporting design requirements; Be the bridge between the business community and the Business Intelligence development team through requirements, design, testing and implementation
Requirements: Bachelor’s degree in business related field (f.e. computer science, mathematics, statistics, or econometrics) or relevant experience; Typically requires 3+ years of experience working with data analysis; Advanced experience using Microsoft Excel to create spreadsheets, charts, pivot tables, macros; Knowledge of advanced analytical tools (e.g. Power BI) and/or databases (e.g. SQL); Strong analytical skills and understanding of how to interpret business needs and translate them into application requirements
   
Text: Data Analyst Collect, organize, and perform analysis on relevant data to determine the efficiency/reliability/sustainability and profitability of our products and/or business processes; Analyze data to determine the root cause of issues (e.g. business process issues, data quality, etc.) or areas of improvement and communicate findings to stakeholders; Communicate and collaborate with users to analyze business needs and translate into functional reporting design requirements; Be the bridge between the business community and the Business Intelligence development team through requirements, design, testing and implementation Bachelor’s degree in business related field (f.e. computer science, mathematics, statistics, or econometrics) or relevant experience; Typically requires 3+ years of experience working with data analysis; Advanced experience using Microsoft Excel to create spreadsheets, charts, pivot tables, macros; Knowledge of advanced analytical tools (e.g. Power BI) and/or databases (e.g. SQL); Strong analytical skills and understanding of how to interpret business needs and translate them into application requirements
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