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26

senior data analyst

  • Identify online data sources.
  • Handle collected data, cleaning of data from database by using MS Excel, Base SAS and SQL. 
  • Build data base by organizing the collected data in MS-Excel format. 
  • Strong hold on manpower handling.
27

senior data analyst

  • Configures carrier identifiers provided in the account structure 
  • Manage and run daily data extractions
  • Query, or run error reports, to ensure the data is received without errors
  • Research data discrepancies found during the data extraction process
  • Manually correct data errors. This includes, but not limited to, filing JIRA tickets, Salesforce cases and reaching out to necessary POCs for corrections. 
  • Analyze data and compare the information using clients platform
  • Responsible for providing accurate feedback to difference insurance carriers in the US
28

sr. data analyst

  • Doing the needful sourcing for chemical companies across the world.
  • Calling to the customers for accurate information which is called surveying.
  • Updating the sourced and surveyed company information in database. 
  • Interact with clients directly thru WebEx meetings.
  • Providing training for the new associates in the process.
  • Responsible for the overall accuracy of the final data.
29

senior data analyst

  •  Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.
  •   Using data validation for logic  
  •   Write the script on SPSS for data cleaning & Validate data       
  •   Make the crosstab and weighting in SPSS
  •    Working Knowledge of  data visualization tool – Tableau
  • Quality check of Survey      
30

senior data analyst

  • Develop mathematical or statistical models of phenomena to be used for analysis or for computational simulation. Perform computations and apply methods of numerical analysis to data. Present statistical and non-statistical results using charts, bullets, and graphs in meetings or conferences to audiences such as clients, peers, and students. Apply mathematical theories and techniques to the solution of practical problems in business, engineering, the sciences, or other fields.
  • Answer different queries from insurance carriers points of contact
  • Be detail orientated to ensure data discrepancies are resolved before client dissemination
  • Run weekly and monthly audits to capture statistical data related to the number of errors received and time taken to correct such errors