Quality Assurance & Analytics Specialist

Quality Assurance & Analytics Specialist PEO Consulting Limited | Career Page

Quality Assurance & Analytics Specialist

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Job Description

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 deborah@gratitudeindia.com

Working Place

NCR city, Manila

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