Location

Nigeria

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Full job description

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Research Assistant

Havora

Research, Teaching & Training

Rest of Nigeria (Nationwide)

Confidential

• Minimum Qualification :

Job Description/Requirements

About Us

Zellow.ai, part of the Havora group, is an ambitious pan‑African data platform building a continuously expanding, licence-verified repository of corporate and organic user sentiments data across the continent. For Havora, Zellow.ai represents not just a product, but a purpose-driven project: advancing data transparency, governance, andmarket accountability in African economies.

Applicants will thus be joining Havora’s development pipeline, with the opportunity to contribute directly to the evolution of Zellow.ai. You will benefit from collaborative mentorship and career support, mirroring the same ecosystem that Havora offers its core employees, only this time in a remote, project-infused, high-autonomy setting within the African data hub ecosystem.

About the role

As aResearch Assistant, you will work directly with the Zellow.ai product team to collect, build, validate, and expand our corporate data repository. Areas of focus include:

• Source and collect corporate data from national registries, government filings, data aggregators, and public databases withinAfrican jurisdictions.
• Clean, normalise, and consolidate datasets: corporate identifiers, address formats, directorships, shareholding links, global ultimate owners, and historical records.
• Help plan & monitor internal metrics: data completeness, anomaly detection rates, extraction accuracy levels.

Main Duties and Responsibilities:

• Scrape public filings and directories (e.g., Nigeria CAC, CIPC)
• Clean/standardise company details, shareholding chains, etc
• Draft analytics briefs and slide summaries for team review

Essentials

• 1-2 years’ experience in data-driven roles (research, assistantship, Excel/CSV work)

Preferred Skills

• Firsthand experience with African corporate data or registry scraping

What We Offer

• Flexible remote contract (flexible hours, ~25–30 hrs/week)
• Mentorship with senior leadership
• Exposure to real-world data challenges across diverse legal systems