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Open nowFirst seen 5 days ago

Quality Assurance & Analytics Specialist

PEO Consulting Limited134 open roles

Where
Manila, NCR, Philippines
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Your applicationOpen nowQuality Assurance & Analytics SpecialistPEO Consulting Limited · Manila, NCR, Philippines

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

The posting

Job Title: Quality Assurance & Analytics Specialist Department: Data Engineering / AI Data Services Location: Global Reports to: VP of AI Ops Contract: Permanent Travel Requirements: No Salary: Open Budget

JOB SUMMARY / OVERVIEW The Quality Assurance & Analytics Specialist establishes and maintains QA frameworks and analytical processes for Digital Services and Products related projects. By auditing and reporting on key quality metrics, this role drives continuous improvement efforts and ensures high- quality data outputs. In collaboration with cross-functional teams, the specialist will also develop and deliver training programs to enhance annotation accuracy, quality standards, and best practices. Additionally, they implement feedback loops, provide ongoing coaching, and leverage BI tools to deliver actionable insights that optimize overall performance and efficiency.

KEY RESPONSIBILITIES AND ACCOUNTABILITIES Quality Framework Development: Define and implement QA standards, guidelines, and SOPs for data annotation projects. Auditing & Reporting: Conduct regular audits to evaluate precision, recall, and annotation accuracy; produce detailed dashboards using BI tools (e.g., Power BI, Tableau). Continuous Improvement: Identify process gaps and work with project managers and data teams to institute corrective actions and optimize QA workflows. Team Support & Training: Facilitate training sessions and give actionable feedback to ensure consistent output quality. Analytics & Insights: Analyze quality trends and help stakeholders make data-driven decisions for resource allocation and process enhancements. Documentation: Keep updated records of quality audits, corrective actions, and QA processes for transparency and knowledge sharing. Develop and deliver training programs to improve annotation accuracy, quality standards, and best practices. Collaborate with cross-functional teams to align training with evolving project needs and best practices. Conduct regular refresher sessions to reinforce quality expectations and address common errors. Create training materials such as documentation, guides, and video tutorials to support continuous learning.

MAIN JOB REQUIREMENTS Education and Specific Training Bachelors degree in Data Analytics, Information Systems, or a related field. Additional certification or coursework in quality assurance, data analytics, or BI reporting is beneficial. Work Experience Minimum of 3 years of experience in quality assurance or data analytics, preferably in data annotation, localization, or content moderation settings. Proven experience working with BI and data visualization platforms (e.g., Power BI, Tableau). Special Certifications (Non-Mandatory) Certifications in Six Sigma, Lean, or other quality management methodologies are advantageous.

REQUIRED SKILLS Technical Skills Proficiency in BI tools (Power BI, Tableau) for data visualization and KPI tracking. Strong analytical ability and familiarity with SQL or similar querying languages. Basic scripting (Python) for automating quality checks (preferred). Understanding of QA frameworks, data governance, and continuous improvement practices.

Qualified Candidates should send CV to [email protected]

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