Required Data Analyst Analytics Trainee Graduate UG

3 weeks ago


Sany, India RazormetTechnologies.in Full time
OverviewThe role of aRequired Data Analyst Analytics Trainee (Graduate UG) is crucialwithin the organization as they are responsible for supporting theanalytics team in extracting analyzing and interpreting data todrive business insights and decisionmaking. This position offers anexcellent opportunity for recent graduates or undergraduates togain handson experience and build a foundation in data analyticsand statistical analysis.Keyresponsibilities
  • Assist in collectingand organizing data from varioussources.
  • Conduct exploratory data analysis toidentify trends and patterns.
  • Assist increating and maintaining databases and datasystems.
  • Utilize statistical methods to analyzedata and generate meaningful insights.
  • Supportthe analytics team in developing and implementing datadrivensolutions for business challenges.
  • Assist increating data visualizations and reports to communicatefindings.
  • Collaborate with crossfunctionalteams to understand data needs and deliver actionableanalytics.
  • Participate in training programs toenhance data analysis skills.
  • Assist inmaintaining data quality integrity andsecurity.
  • Contribute to the development andimprovement of data analysis processes andtools.
  • Support adhoc data analysis andreporting requests from variousstakeholders.
  • Stay updated with industry bestpractices in data analytics and apply them toprojects.
  • Assist in identifying opportunitiesfor operational improvements through dataanalysis.
  • Ensure compliance with datagovernance and regulatory requirements.
  • Supportthe documentation of data analysis methodologies andfindings.
Requiredqualifications
  • Bachelors degree in aquantitative field such as Statistics Mathematics EconomicsComputer Science or a related field.
  • Stronganalytical and problemsolvingskills.
  • Proficiency in SQL and databasemanagement.
  • Knowledge of data visualizationtools and techniques.
  • Familiarity withstatistical analysis and modelingtechniques.
  • Ability to work with large datasetsand perform data cleaning andtransformation.
  • Proficiency in Microsoft Excelfor data manipulation and analysis.
  • Strongcommunication skills with the ability to present findingseffectively.
  • Understanding of basic programminglanguages such as Python or R is aplus.
  • Ability to work in a dynamic andcollaborative team environment.
  • Keen attentionto detail and accuracy in dataanalysis.
  • Ability to prioritize and managemultiple tasks effectively.
  • Strong curiosityand eagerness to learn and apply newconcepts.
  • Understanding of business operationsand decisionmaking processes.
  • Enthusiasm forleveraging data to drive business impact andimprovements.

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