Quantitative Research Analyst

Labeeb; Pakistan; Remote; PKR 3,444,000 - 6,199,000; Full time

Job summary

Labeeb is seeking a remote expert for ongoing analytical assignments across Pakistan, India, and UAE priorities. The role emphasizes rigorous data cleaning, model testing, and transparent reporting while guarding client confidentiality.

Responsibilities include selecting appropriate tests/models, documenting assumptions, and delivering reproducible analyses with clear explanations of findings. No guaranteed workload; tasks and fees are defined per assignment.

Qualifications

• Advanced statistics/research qualification or equivalent record; completed SPSS/R/SmartPLS/AMOS/SEM analyses showing assumptions, outputs and independent contribution.
• Verify each claimed method/software.

Responsibilities

• Select justified tests/models, clean and document data, check assumptions, run reproducible analyses, annotate outputs and explain findings without changing them to fit a preferred result.

Job description

Select justified tests/models, clean and document data, check assumptions, run reproducible analyses, annotate outputs and explain findings without changing them to fit a preferred result.

Qualifications and prior work: Advanced statistics/research qualification or equivalent record; completed SPSS/R/SmartPLS/AMOS/SEM analyses showing assumptions, outputs and independent contribution. Verify each claimed method/software.

Initial sourcing and language: Pakistan, India and UAE first; language of explanation verified in English and/or Arabic. These are sourcing priorities, not automatic nationality or residency exclusions. Applicants must demonstrate the relevant market, method, discipline and language expertise rather than merely state it.

Remote, project-based Labeeb expert opportunity for an ongoing specialist pool. Each assignment has a written scope, deliverables, deadline, language and fee agreed separately; no fixed salary or guaranteed volume. Hub Heads match assignments only to verified capabilities.

CONFIDENTIALITY AND PROFESSIONAL BOUNDARIES

The student/researcher remains author. No assessed-work ghostwriting, fabricated data/references, impersonation, detection evasion, guaranteed academic outcomes or unlawful data. Follow institutional guidelines and protect student/client information. Provide only samples you own or are authorized to submit privately to Labeeb. Do not include unredacted student, client or candidate personal data without permission.