A network for analytics work, reviewed before it goes live
Find who already proved the work
Every analyst on Gopibe Mexiwa has passed a standardized skills assessment and submitted two work samples that our editorial team reviewed before publishing their profile. Companies search a roster that's already been checked, not a wide-open marketplace.
Skills assessment
A standardized test covering SQL, statistics, and applied reasoning, scored the same way for every applicant.
Editorial review
Two work samples per analyst are read by our team before a profile is approved for the roster.
Direct engagement
Companies message analysts directly and structure the scope, timeline, and rate themselves.
Open marketplaces surface a lot of profiles. They don't tell you much about the work.
Most freelance platforms let anyone create a profile and bid on a project. That's fine for a lot of tasks. Data analysis is different: a bad hire can cost weeks before anyone notices the model was built on the wrong assumptions. Gopibe Mexiwa exists because companies asked for a smaller, checked pool instead of an unlimited one.
We don't rank analysts against each other or promise a perfect match. We check a baseline and show you the work. What you do with that information is up to you.
A few things every profile on this platform has in common
A completed skills assessment
Every analyst sits the same standardized test before a profile can go live, covering querying, statistical reasoning, and interpretation of ambiguous data.
Two reviewed work samples
Applicants submit two pieces of prior analytical work. Our editorial team reads both before approving the listing, not just skimming a resume.
Transparent scope, set by you
Rates, deliverables, and timelines are negotiated directly between your company and the analyst. We don't insert a bidding war.
Profiles built around specialty
Analysts describe the tools, industries, and problem types they actually work in, so search results reflect real focus areas.
A single point of contact
Our support desk can help with account or platform questions, but the working relationship stays between your team and the analyst.
No inflated résumés
Work history is presented as submitted. We check the samples, not the exaggeration, and we say so plainly on every profile.
The skills test looks for reasoning, not memorized syntax
The standardized assessment mixes short technical exercises with open-ended interpretation questions. An analyst might be asked to clean a messy dataset, write a query against an unfamiliar schema, or explain what a confusing chart is actually telling a viewer.
The scoring rubric is fixed in advance and applied the same way to every applicant, regardless of where they're located or what industry they came from. It's a baseline check, not a competition.
Two work samples, read by a person before anything is published
Alongside the test, applicants submit two examples of past analytical work: a report, a dashboard, a model, or documented code. Our editorial team reads both, checks that the analyst's stated role matches the work shown, and flags anything unclear before approval.
Samples that don't hold up under review don't result in an approved profile. That's the entire mechanism. It isn't a guarantee about future projects, just a documented check on past ones.
From posting a project to starting work
Describe the project
Outline the data problem, tools involved, and rough timeline. This becomes the basis for your search filters.
Review matched profiles
Browse analysts whose stated specialties and reviewed samples align with what you described.
Message directly
Contact analysts through the platform to ask questions, request availability, or discuss scope.
Agree terms and begin
Set rate, deliverables, and schedule between yourselves. The platform steps back once the engagement starts.
Common questions about the vetting process
It combines applied statistics questions, a data-cleaning exercise, a query-writing task, and a short section asking the applicant to interpret an ambiguous chart or dataset in plain language. The same version is used for every applicant during a given assessment cycle.
A small internal editorial team reads each submission. Reviewers check that the sample is coherent, that it matches the analyst's described role, and that any claims about methodology are explained clearly enough to follow.
No. The assessment and sample review establish a documented baseline at a point in time. They don't predict how a specific engagement will go, and we don't make claims about outcomes for any project.
Rates, contracts, and payment terms are agreed directly between the company and the analyst. Gopibe Mexiwa doesn't set pricing or process payments on behalf of either party.
Yes. Analysts can resubmit updated samples after a waiting period described during the application process. There's no limit on how many times someone can apply.
Profiles span retail, healthcare administration, logistics, finance operations, and marketing measurement, among others. Each profile lists the industries the analyst has direct experience in, based on their submitted samples.
Have a project that needs an analyst?
Describe what you're working on and browse profiles that have already gone through the assessment and review process.