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Data Analyst Analytics Internships New Batch

3 months ago

Sany, India Prometrics Solutions Full time
Immediate candidatesonly
  • Collectingand analyzing large data sets using statistical and datavisualization tools
  • Identifying patterns trendsand correlations in data to inform businessdecisions
  • Developing and maintaining databasesdata systems and data analyticstools
  • Developing and implementing data analysisprocesses and methodologies
  • Creating anddelivering reports and presentations that clearly communicate datainsights to management and otherstakeholders
  • Collaborating with otherdepartments such as marketing and operations to develop datadrivensolutions to business problems
  • Ensuring dataaccuracy completeness and integrity
  • Designingand conducting experiments to test hypotheses and validateassumptions
  • Developing and maintainingpredictive models to forecast businessoutcomes
  • Total Post Qualification Experience:At least 9years in IT domain
  • Should haveexperience of more than 4 years in Data Analyticsdomain
  • Data analysts gather data from varioussources within the organization including databases data warehousesand external sources. They ensure data quality and reliabilitythrough cleaning and integrationprocesses.
  • Data Analysis andInterpretation: Using statistical techniques dataanalysts analyze large datasets to identify trends patterns andcorrelations that can provide valuable insights for decisionmaking.They use tools like Excel SQL Python R and data visualization tools(Tableau Power BI) to perform thisanalysis.
  • Reporting andVisualization: Data analysts create reports anddashboards that visualize their findings in a clear andunderstandable manner. These visualizations help stakeholders anddecisionmakers grasp complex analytical resultsquickly.
  • Predictive Analysis andModeling: Data analysts build predictive modelsusing statistical techniques and machine learning algorithms. Thesemodels forecast future trends and behaviors based on historicaldata enabling proactive decisionmaking andplanning.
  • Performance Trackingand KPI Monitoring: They track key performanceindicators (KPIs) and metrics to assess the performance of businessprocesses and initiatives. This monitoring helps in identifyingareas for improvement andoptimization.

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