Data Analyst Analytics Intern 2024 Batch
4 weeks ago
- Assist in collectinganalyzing and interpreting complex datasets.
- Use statistical methods to analyze dataand generate useful business reports.
- Supportthe team in developing and enhancing data models andalgorithms.
- Assist in preparing and presentingdetailed analytics reports tostakeholders.
- Work closely with crossfunctionalteams to identify data requirements and effectively communicatefindings.
- Assist in data cleansing validationand quality assurance processes.
- Conductexploratory data analysis to identify trends and patterns in datasets.
- Assist in the development andimplementation of data visualization tools andtechniques.
- Contribute to the planning andexecution of datadriven projects andinitiatives.
- Stay updated with the latesttrends and advancements in data analytics and apply them to ongoingprojects.
- Assist with adhoc data analysisrequests and contribute to continuous improvementefforts.
- Support in documenting processes datamodels and analytical findings.
- Collaboratewith mentors and team members to learn and apply advanced analyticstechniques.
- Participate in training sessionsand workshops to enhance technical and analyticalskills.
- Bachelors or Mastersdegree in Data Science Information Systems Statistics ComputerScience or a related field.
- Prior internship oracademic projects involving data analysis modeling orvisualization.
- Proficiency in SQL for dataextraction manipulation and querying.
- Strongprogramming skills in Python for data manipulation andanalysis.
- Solid understanding of statisticalconcepts and their application in dataanalysis.
- Knowledge of data visualization toolssuch as Tableau Power BI or similarplatforms.
- Ability to work with large datasetsand databases using tools like Excel Access or SQLServer.
- Excellent communication andpresentation skills to convey complex findings to nontechnicalstakeholders.
- Detailoriented approach withstrong problemsolving and analyticalabilities.
- Ability to work independently andcollaborate effectively within a teamenvironment.
- Familiarity with machine learningconcepts and algorithms is a plus.
- Knowledge ofbusiness intelligence concepts andpractices.
- Familiarity with data cleaningtransformation and preprocessingtechniques.
- Ability to adapt to newtechnologies tools and techniquesquickly.
- Prior experience with advancedanalytics tools and platforms isdesirable.
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