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Data Analyst Trainee Fresher Graduate

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Sany, India Matrixbuz Technologies Full time

Conductthorough and efficient SQL optimization to enhance databaseperformance.Identify and implementimprovements in database queries for optimal dataretrieval.Develop processes for loading datafrom various sources into our dataenvironment.Ensure data integrity andaccuracy during the loading process.Performdata reconciliation to validate and ensure consistency acrossdifferent data sets.Troubleshoot and resolveany discrepancies identified duringreconciliation.Collaborate with businessstakeholders to understand data mappingrequirements.Implement data mappingstrategies to meet business needs and enhance datausability.Design and execute ETL processesto facilitate seamless dataintegration.Monitor and optimize ETLworkflows to ensure efficiency andreliability.Extract and integrate data frommultiple sources to create comprehensivedatasets.Develop and maintain processes forefficient data extraction andconsolidation.Keep track of data migrationprojects providing regular updates onprogress.Document and report on the numberof successful data migrationsundertaken.Demonstrate a high level ofproficiency in writing complex SQLqueries.Utilize strong analytical skills toextract actionable insights from largedatasets.Proven experience in SQLoptimization ETL processes and datareconciliation.Strong proficiency in SQL anddatabase management systems.Familiarity withdata mapping techniques based on businessrequirements.Experience in pulling andintegrating data from 23 diversesources.Previous involvement in datamigration projects is aplus.Qualifications:Bachelorsdegree in Computer Science Information Technology or a relatedfield.
Weare looking for candidates who possess the ability to analyse datato improve quality and the efficiency of datasystems.
  • Interpret data analyseresults using statistical techniques and provide reports &analytics.
  • Develop and implement databases datacollection systems data analytics and other strategies thatoptimize statistical efficiency andquality.
  • Acquire data from primary or secondarydata sources and maintain databases/datasystems.
  • Collaborate with the teams to provideinsights into the usage behaviour and patterns to shape the productand define new process improvementopportunities.
  • Work with management toprioritize business and informationneeds.

data,sql,datamapping,database,etl,etl,analytics,data migration,datareconciliation