Early Career Trainee - Data Science and Business Analytics

Job Description SummaryAs an Early Career Trainee in Data Science and Business Analytics you will play an integral role within our Global Sales Operations team gain handson experience in application of various methodologies used in the analytical and datadriven techniques to optimize operations and enhance decisionmaking processes. This opportunity is ideal for recent graduates or individuals with minimal professional experience who are passionate about using data science and analytics to drive business outcomes in a global sales environment. You will collaborate with senior team members crossfunctional teams and contribute to ongoing projects.Data Collection & PreparationAssist in gathering and preparing data from multiple sources for analysisClean transform and preprocess raw data to ensure accuracy and consistencyExplore datasets to identify trends patterns and potential anomaliesData Analysis & InsightsSupport the team in performing exploratory data analysis (EDA) and hypothesis testingUtilize statistical and machine learning techniques to uncover insights from dataGenerate reports summarizing findings with clear visualizations and actionable insights and recommendationsAssist in building and validating predictive models using statistical and machine learning methodsLearn and apply relevant algorithms (e.g. regression classification clustering) to solve business problemsBusiness AnalyticsHelp generate business performance reports dashboards and metrics to track KPIsSupport business teams with datadriven recommendations to enhance operational efficiencyContribute to decisionmaking processes through analytical insights into business operationsCollaboration & LearningWork closely with crossfunctional teams (e.g. Sales Finance Services Engineering) to understand business needs and deliver datadriven solutionsParticipate in training sessions and mentorship to improve technical skills in data science and analytics toolsStay up to date with industry trends new technologies and best practices in data scienceDocumentation & ReportingDocument workflows business requirements methodologies and project outcomesCreate presentations and reports to communicate findings effectively to nontechnical stakeholdersAssist in preparing and presenting regular updates on project progress.Qualifications requiredEducation: Bachelors degree in Data Science and Business Analytics or a related fieldTechnical Skills:Knowledge Internship or academic projects related toprogramming languages like Python VB or RBasic understanding of machine learning techniques (e.g. regression clustering classification)Basic understanding of statistical analysis techniques and RDBMS conceptsKnowledge with data analysis tools (e.g. MS Excel SQL MySQL PostgreSQL)Experience Internship or academic projects related to with data visualization tools (e.g. Tableau Power BI)Desired qualificationsStrong analytical and problemsolving abilities.Excellent communication skills with the ability to explain complex concepts in simple terms.Ability to work independently and as part of a team.Eagerness to learn and adapt to new tools technologies and methodologies.Additional InformationRelocation Assistance Provided: NoRequired Experience:Intern#J-18808-Ljbffr