Quality Analyst

Department Icon Data Science Analytics & Machine Learning
Posted: 3 months ago
2-4 years
Hyderabad / Secunderabad, Telangana, Telangana
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 3 months ago
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Job Description

Role Purpose

Owns client-specific quality programs, performance metrics, and escalations while leading team development and cross-functional coordination. Shared accountability for client outcomes and team performance with the Ops Manager.

Key Responsibilities

  • Set client QA strategies (sampling design, audit methods, acceptance thresholds) and adapt to scope/volume changes.
  • Run root-cause analyses; drive CAPA plans with owners, timelines, and effectiveness checks.
  • Plan training & certification for raters/annotators and coordinators; track completion and impact.
  • Maintain dashboards (throughput, accuracy, productivity, cost) and convert insights into actions.
  • Manage client escalations; present options, trade-offs, and recovery paths.
  • Standardize SOPs, templates, and checklists; remove bottlenecks.
  • Pilot small automations (macros, templates, RPA/API handoffs) with Ops Tech; scale wins.
  • Coach P1s and C2–C3 on tools, workflows, and QA craft.
  • Ensure compliance/security across data handling and platform access

Requirements

Education

  • Bachelors degree or equivalent experience in Business, Operations, Quality, or Data/Engineering.

Experience

  • 2+ years in quality/ops with hands-on QA and workforce/training coordination.
  • 1+ years leading people/pods (formal or informal).

Skills

  • Multi-project planning and stakeholder management.
  • Clear client communications and governance cadence participation.
  • Strong spreadsheets, PM/task boards, and basic BI; ETL familiarity is a plus.
  • Capacity planning with vendors; confident escalation/negotiation.
  • Effective in global, distributed teams.

Additional Qualifications (P1+)

  • Near-native English with strong writing and editorial skills.
  • Hands-on with generative AI tools (text/voice/video).
  • Background in QA testing, rubric design, or AI safety/ethics evaluation.
  • Familiarity with data-annotation platforms and model-evaluation tools.
  • Ability to interpret code/datasets/workflows at a conceptual level (no coding required).
  • Works independently and manages workflows effectively in a remote setup.
  • Multilingual ability beyond English.

Scope & Autonomy

  • Leads quality, training, and performance tracks across several projects; independent within guardrails.
  • Shared accountability for client results and team performance with Ops Manager.

Skills

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About Company

Welo Data is an AI-powered customer intelligence platform that helps businesses understand their customers better and build stronger relationships.

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