Job Description
Your safety comes first — read before you go. Taf4All only lists job offers published by third parties. We are not the employer, we do not conduct these recruitments, and we cannot guarantee what happens once you make contact — you deal directly with the person or company behind the offer, at your own risk.
Formation / Diplômes
Carnegie Mellon University, a premier private research institution with a global footprint, ranks among the most distinguished universities worldwide. Through pioneering advancements in neuroscience, transformative artistic performances, pioneering startups, data-driven innovation, bold aspirations, experiential learning, and pioneering robotics, CMU doesn’t merely envision the future—it pioneers it. If you’re eager to contribute to a dynamic community that empowers inquisitive minds to produce impactful work, your path begins here. Carnegie Mellon University Africa (CMU-Africa), CMU’s dedicated campus in Kigali, Rwanda, has operated since 2011, driving progress in engineering, technology, research, and innovation across the continent via top-tier graduate education, applied research, and strategic collaborations. With students hailing from over 25 African nations and an expanding array of sponsored programs, research ventures, and talent development initiatives, CMU-Africa is cultivating the next wave of technology leaders and accelerating Africa’s digital transformation. Seeking a seasoned Data and Analytics Specialist with strong analytical acumen, CMU-Africa aims to enhance its data infrastructure and foster evidence-based decision-making across its educational, research, and sponsored initiatives. This pivotal role will focus on developing and maintaining robust data systems, reporting frameworks, analytical tools, and business intelligence solutions that empower CMU-Africa and its partners to track performance, measure outcomes, detect trends, and make well-informed strategic choices. By collaborating with leadership, program teams, partner institutions, and the Monitoring, Evaluation, and Learning (MEL) Specialist, the selected candidate will distill intricate datasets into actionable insights that bolster institutional effectiveness, program accountability, and long-term planning. This opportunity uniquely positions the right professional to shape data and analytics strategies within a rapidly expanding network of leading African universities and innovation ecosystems.
---
**
[Click the Apply button below to apply, and Create my CV to build a CV tailored to this offer, professionally]
Ready to apply?
Get seen by recruiters
Publish your CV on the Candidates page — the place recruiters browse directly to find profiles like yours.
See the Candidates pageYou are recruiting?
Find candidates on TAF4ALL🚀 Boost your application
Stand out with a professional CV and a personalized cover letter generated by AI in 3 minutes. 7 Ingénieur position(s) posted this week in Rwanda.
Expert Application Advice
When tailoring your CV for Carnegie Mellon University, don't just list duties—show how you solved a problem that reflects les compétences demandées dans l'annonce. For mid-level roles, use a brief "Challenge-Action-Result" line to prove impact and stand out.
Positioning — Your cover letter must answer one question: why YOU for THIS specific role right NOW? Avoid generic templates — one sentence on what you specifically bring beats three generic paragraphs.
Field competencies — Detail your on-site experience: conditions managed, equipment mastered, safety standards applied. A portfolio of technical drawings/reports concretely proves your skills.
🎯 Make your application ATS-ready
ATS (Applicant Tracking Systems) are the software recruiters use to automatically filter CVs before any human reads them. Our CV builder is specifically designed to pass these filters — and it takes under 3 minutes.
Create my ATS CV →Your safety comes first — read before you go
Taf4All only lists job offers published by third parties. We are not the employer, we do not conduct these recruitments, and we cannot guarantee what happens once you make contact — you deal directly with the person or company behind the offer, at your own risk.
- •Never pay any amount of money — for a file, a training, a uniform, or an interview. A real employer never asks the candidate to pay.
- •Never send a photo of your ID card, passport, or banking details before you have physically verified the employer exists.
- •Always meet in a public place, during the day — never an isolated address, a private home, or a location you cannot verify in advance.
- •Tell a relative or friend exactly where you are going, with whom, and at what time — and share your live location if possible.
- •Search the company name online before going: a real business has a trace (website, reviews, other employees, an official address).
- •A salary that is far above the market rate for the position and the city is a red flag — be extra cautious.