Data Analyst Loc: Deerfield, IL Dur: 3 M+, Rate:Open

Job Description:

Title: Data Analyst

Location: Deerfield, IL

Dur: 3M+,

Rate:Open

Local: Highly preferred

JD below:

  • We are looking for a passionate Data Analyst to turn data into information, information into insight and insight into business decisions.
  • We have a Renal patient and market intelligence system that is planned to be launched globally (over 120 countries) in Apr 2017 wherein data is entered through a web portal by key stakeholders in each country.
  • We need a strong data analyst to perform testing & validations post data entry and primarily be responsible for audit mechanisms to continuously monitor user engagement, data quality and identify improvements (for future releases based on user feedback).

Responsibilities

  • Continuously monitor the progress of the launch/survey in terms of user engagement, data entry completeness
  • Leverage data validation scripts to ensure data quality
  • Interpret data, analyze results and provide ongoing status reports
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Design and develop reports, printouts, and performance indicators to locate and correct problems
  • Work closely with management to prioritize business and information needs
  • Locate and define new process improvement opportunities
  • Perform UAT on system/reporting issues
  • Strong presentation skills via PowerPoint and Excel

Requirements

  • Proven working experience as a Data/Business analyst
  • Strong knowledge of SQL and experience with databases (Oracle) to build effective validation/audit scripts
  • Strong Excel skills (adept at excel functions) to do data transformations, validation and audit
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate information with attention to detail and accuracy
  • Adept at queries, adhoc report authoring skills and presentation of findings using reporting/dashboard tools (such as Cognos, Tableau etc.)
  • BS in Mathematics, Economics, Computer Science, Information Management or Statistics


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