Quality Analyst
Share
Job Location:
Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
Job description
Roles and responsibilities
Perform quality evaluations of customer interactions using both manual and AI-assisted evaluation workflows.
Validate AI-generated QA scores and ensure alignment with defined quality frameworks.
Conduct targeted call and interaction scrubbing based on AI-identified risk signals.
Ensure adherence to SOPs compliance requirements and customer experience standards.
Leverage AI-based insights to prioritise interactions requiring QA intervention.
Focus QA effort on high-risk interactions instead of random sampling.
Escalate critical quality concerns and behavioural risks.
Analyze QA datasets to identify top failing parameters agent behaviour patterns customer experience gaps.
Work with structured datasets (Google Sheets/MS Excel) to generate actionable insights.
Support creation and maintenance of dashboards within QMS.
Provide feedback on feature enhancements related to AI models & functions in QMS.
Use QMS dashboards to monitor contact centre quality health agent performance trends experience metrics. (customer sentiment interaction outcomes)
Take proactive action based on insights. (scrubbing escalation coaching recommendations)
Participate in QA calibration sessions to ensure scoring consistency.
Recommend improvements to scorecards parameters and evaluation frameworks.
Contribute to evolving QA processes toward AI-first quality assurance models.
Job requirements
Must have
14 years of experience in QA / Contact Center Quality Assurance.
Strong understanding of contact centre operations. (voice chat email)
Experience in QA monitoring evaluation frameworks and calibration processes.
Ability to identify behavioural patterns and quality risks.
Proficiency in Google Sheets/MS Excel (Formulas - ARRAYFORMULA QUERY etc.) for data structuring and transformation.
Experience with BI tools such as Looker Studio or similar is preferred.
Ability to interpret and analyze large datasets.
Understanding of performance metrics such as ratios (e.g. disconnect rate short call rate) trends and anomalies.
Basic understanding of AI-assisted QA concepts such as automated call evaluation sentiment analysis pattern detection.
Ability to work with AI-generated outputs and validate their accuracy.
Openness to adapting to AI-driven workflows and automation.
Ability to provide clear actionable feedback to agents leads & operations.
Experience working with cross-functional teams. (QA Operations Product Engineering)
Experience working with global teams located in different regions. (US UK Canada & India)
Strong verbal and written communication skills.
Language Proficiency - Must be C1 or above. (CEFR)
Exposure to data analysis & reports.
Workspace requirements
A private workroom with the ambience to handle calls.
Ready for Video calls at all times. Video calls are an integral part of maintaining the human connection while working from Anywhere.
Good Internet speed (Above 100 MBPS Download and Upload) with the ability to be wired (LAN).
Power backup (if you have frequent power cut issues).
About us
We are a Portland-based SaaS product company on a mission to empower businesses to work from Anywhere. Our global team of engineers designers testers product experts customer experience associates and marketers come together to create a better way to work. Our products and services help businesses to be more productive flexible and scalable. Together we can change the way the world works!
All done!
Your application has been successfully submitted!
Required Experience:
IC
Key Skills
- Gas Chromatography
- Laboratory Experience
- Archival Standards
- ELISA
- Test Cases
- Analytical Chemistry
- Quality Assurance
- Spectroscopy
- Quality Control
- cGMP
- Selenium
- Western Blot
