Speech Analytics Analyst — AI CX Insights & Dashboards

Capacity

St. Louis (MO)

On-site

USD 45,000 - 55,000

Full time

9 days ago

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Benefits offered by this job

Health insurance
401(k) with company match
Unlimited vacation policy
Short term disability insurance
Group life AD&D insurance
Profit Interest Units

Job summary

Capacity is seeking a Speech Analytics Analyst in St. Louis, MO to partner with customers and leverage our speech analytics platform.

The role focuses on uncovering business drivers, delivering voice of the customer insights, and driving improvements in customer engagement across care, sales, quality, and marketing. You will train and calibrate the analytics engine, review data quality, build stories and dashboards, and collaborate with product, engineering, and business teams to expand

Qualifications

  • Experience in a call or contact center or strong conversational English.
  • Demonstrated strong analytical skills and hypothesis-driven problem-solving.
  • Exceptional written and verbal communication skills; ability to collaborate across teams.

Responsibilities

  • Identify call events and phrases to train the software for analytics and business goals.
  • Analyze language patterns to derive business value and insight.
  • Review data quality and validate analysis requirements.
  • Create data-driven stories for clients and communicate insights.
  • Develop and manage custom dashboards and reports.
  • Maintain reusable solution libraries across customers and industries.
  • Brainstorm value-added features to extend platform capabilities.

Skills

Call center experience
Analytical skills
Communication skills

Education

Bachelor's degree or equivalent

Tools

Speech analytics platform

Job description

Capacity is seeking a Speech Analytics Analyst in St. Louis, MO to partner with customers and leverage our speech analytics platform.

The role focuses on uncovering business drivers, delivering voice of the customer insights, and driving improvements in customer engagement across care, sales, quality, and marketing. You will train and calibrate the analytics engine, review data quality, build stories and dashboards, and collaborate with product, engineering, and business teams to expand

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