Position Details: Speech Analytics Analyst

Location: Metro Manila, Permanent WFH
Openings: 1
Salary Range:


Job Description: The purpose of the Speech Analytics Analyst position is to perform analysis on business policies, processes, and performance, primarily through the use of speech analytics software. They will use the analysis to drive better business decisions through process improvements. 

Daily Duties:
  • Collect, organize, and analyze data to solve business problems and drive better decisions through ad-hoc and routine analysis.
  • Translate high level business goals into the tasks and technical specifications needed to accomplish the goal.
  • Perform analysis to solve business problems and drive better decisions.
  • Develop and produce reports to measure the performance of policies and processes.
  • Summarize analysis findings through clear, concise documentation and present to various levels at the Company.
  • Work with IT to enhance data structures through defining requirements and testing

Essential Duties:
  • Be self-driven, motivated to help and able to perform with minimal supervision in a team environment.
  • Act promptly and effectively when assigned tasks.
  • Communicate effectively with the ability to adjust to the audience as necessary.
  • Be able to quantify collected information and translate it into opportunities.
  • Be organized and capable of meeting all deadlines.
  • Ability to work with others in a team environment.
  • Be proactive and make recommendations as opportunities arise

Job Requirements:
  • Bachelor’s degree or higher (Computer Science, Economics, Mathematics, Statistics, Business Analytics, Finance, etc. - preferred).
  • 2+ years’ experience using speech analytics software (CallMiner, Nice, Verint, Tethr, etc.). (Mid Level)
  • 5+ years’ experience using speech analytics software (CallMiner, Nice, Verint, Tethr, etc.). (Senior)
  • 2+ years’ experience in an academic or professional setting using one or more of the following analytical tools SAS, SQL, R or Python.
  • Experience with large data manipulation and analysis.
  • Experience running and creating reports in an analytical tool. 

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