Data Analyst - Intern Remote Internship - DataAnalysis

Delve into thedynamic world of data analysis with an exclusive internshipopportunity offered by Kreativstorm a dynamic and innovativemanagementconsulting firm based in Berlin Germany. Work remotelywith our multinational team and unlock your career aspirations indataanalysis! Ifyoure passionate about data analysis and equipped withproblemsolving skills this internship is perfect for you. Under theguidance of industry experts youll tackle diverse data analysisprojects exploring concepts like data visualization statisticalanalysis predictive modeling and data mining. Gain handsonexperience in uncovering insights and informing decisions all fromthe comfort of yourhome. Internship Overview and Details: Location: Fully Remote Schedule : Part Time Internship Duration : Unpaid for the first 3 months with the possibility of permanentpaid employment after the internshipperiod. Requirements Ideal Candidates : Studentspursuing a degree or recent graduates in Data Science Statistics Computer Science or a relatedfield. Aspiringdata analysts keen on unraveling complex datasets and extractingmeaningfulinsights. Analyticalthinkers adept at translating data into actionablerecommendations. Effectivecommunicators who thrive in collaborative teamsettings. Detailorientedindividuals excelling in fastpaced analyticalenvironments. Enthusiasticlearners committed to honing their skills in dataanalysis. Proficiencyin data analysis tools and programming languages (e.g. Python RSQL) highlyvalued. Familiaritywith statistical techniques data visualization and databasemanagementadvantageous. Someinitial industry experience is a bigplus. Your Contribution: Contributeto data collection cleaning and analysisprocesses. Collaboratewith the data analysis team to develop analytical models andinsights. Aidin interpreting data trends and patterns to inform strategicdecisionmaking. Bringfresh perspectives and innovative solutions to tackle datachallenges. Fostera collaborative team environment focused on excellence in dataanalysis. Assistin documenting and presenting analysis results andrecommendations.