Euromonitor International is seeking a Senior Data Analyst to standardise, model and forecast datasets used by clients worldwide, turning messy source statistics into reliable, comparable figures. This hybrid role is based in Vilnius, Lithuania, and offers the opportunity to improve data quality and comparability across sources.
Euromonitor International is seeking a Senior Data Analyst to standardise, model and forecast datasets used by clients worldwide, turning messy source statistics into reliable, comparable figures. This hybrid role is based in Vilnius, Lithuania, and offers the opportunity to improve data quality and comparability across sources.
What you'll do: - Analyse and manipulate datasets using R. - Standardise raw statistical data to ensure cross-source comparability. - Extrapolate and interpolate data to develop modelling and forecasting techniques. - Monitor, review, and enhance data quality. - Document work processes to ensure team alignment and best practices. - Liaise with sales and marketing and respond to client queries.
What we’re looking for: - Background in mathematics, econometrics, data science, statistics or related fields. - Proficiency in R; Python is a plus. - Proficiency with Git. - Experience in data manipulation, statistical analysis and time series forecasting. - Good coding habits: documentation, styling, and reproducibility. - Excellent English communication skills (oral and written). - Strong organizational skills, creativity and attention to detail. - Ability to work on your own initiative.
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What you'll do: - Analyse and manipulate datasets using R. - Standardise raw statistical data to ensure cross-source comparability. - Extrapolate and interpolate data to develop modelling and forecasting techniques. - Monitor, review, and enhance data quality. - Document work processes to ensure team alignment and best practices. - Liaise with sales and marketing and respond to client queries.
What we’re looking for: - Background in mathematics, econometrics, data science, statistics or related fields. - Proficiency in R; Python is a plus. - Proficiency with Git. - Experience in data manipulation, statistical analysis and time series forecasting. - Good coding habits: documentation, styling, and reproducibility. - Excellent English communication skills (oral and written). - Strong organizational skills, creativity and attention to detail. - Ability to work on your own initiative.
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Based on: Senior Data Analyst
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