See our
Product · Cairo · Hybrid
Data Quality Analyst
This role is all about ensuring that our data is accurate, well-structured, and truly useful. You’ll be the guardian of data quality—working closely with product managers and engineers to understand.
💼About the role
We’re looking for a mid level Data Quality Analyst to join our fun product team! Unlike a typical product analyst role that focuses on driving business change, this role is all about ensuring that our data is accurate, well-structured, and truly useful. You’ll be the guardian of data quality—working closely with product managers and engineers to understand, maintain, and improve the integrity of our data.
This position offers flexibility with a hybrid work setup, where you will have the option to work remotely part of the time. While the role involves collaborating closely with cross-functional teams in-person, we understand the importance of work-life balance and are open to remote work arrangements based on your needs and performance.
💻What you’ll do
Ensure and Improve Data Quality: Monitor, validate, and troubleshoot data across multiple sources to ensure completeness and consistency. Systematically identify and implement improvements to data quality processes, proactively addressing issues and optimizing data workflows to enhance accuracy and reliability.
Collaborate with Product & Engineering: Work closely with cross-functional teams to understand how data is generated, stored, and used—raising and resolving quality issues as they arise.
Data Investigations: Identify inconsistencies, anomalies, and gaps in datasets, then work with relevant teams to diagnose root causes and implement solutions.
Build & Maintain Curated Datasets: Write queries to create and maintain well-structured, high-quality datasets used across the company.
Documentation & Standards: Develop and maintain clear documentation on data definitions, sources, and validation processes to uphold data integrity.
Support Data Consumers: Be the go-to person for questions around data quality and structure.
👀
What We’re Looking For:
Detail-Oriented Mindset: You notice when things don’t add up and have a natural instinct to investigate.
Minimum of 2 years experience in a professional setting working closely with data, with a focus on data quality and integrity. A passion for
processes and automation, including the ability to set up and manage
alerts and other systems to proactively monitor data health and quality.
Thrilled with fixing data: Are the type of person who gets a little thrill from finding and fixing a hidden data issue.
Experience with SQL & Data Tools: You’re highly proficient in SQL and comfortable querying databases to build datasets and validate data quality.
Curiosity & Problem-Solving Skills: You enjoy understanding how products work and aren’t afraid to ask questions to get to the bottom of data issues.
Strong Communication: You can explain data issues to engineers, product teams, and non-technical stakeholders in a way that makes sense.
➕
Bonus Points If You:
Know how to use Airflow for workflow automation, that’s a plus but not a necessity. Are familiar with how data moves through a system (ETL, data warehouses, APIs). Have worked with analytics platforms like Tableau, Looker, or Power BI. Work on meaningful problems that impact education and learning outcomes. Be part of a collaborative team that values curiosity and getting things right. Opportunity to shape data quality best practices at a fast-growing company.
If you love making data clean, accurate, and reliable, we’d love to hear from you! Apply now and help us take data quality to the next level.
About Noon Academy
Noon Academy is the leading edtech platform in the Middle East, with over 14 million students and teachers using our app to learn, teach, and collaborate. We have recently raised $41 million in Series B funding to expand our reach and impact in the region and beyond. We are on a mission to transform the physical classroom experience by introducing our highly engaging social, group-based learning and AI to make learning fun and improve learning efficacy. Our ultimate goal is to provide access to the best teachers to every student even if that teacher is only available virtually. We believe we can do this if we blend AI, peer-to-peer learning, and a carefully designed physical space.
Product · Cairo · Hybrid
Data Quality Analyst
This role is all about ensuring that our data is accurate, well-structured, and truly useful. You’ll be the guardian of data quality—working closely with product managers and engineers to understand.
- You visit our Career Site (you being a “Visitor”)
- You connect with us via our Career Site, to create a profile with us and receive information about current or future vacancies with us (you being a “Connecting Candidate”)
- You apply for a position with us, via our Career Site or a third party service (you being an ”Applying Candidate”)
- We collect information about you from other parties, sites and services, since we believe your profile is of interest for our current or future vacancies (you being a “Sourced Candidate”)
- We receive information about you from our employees or partners, since they believe your profile is of interest for our current or future vacancies (you being a “Referred Candidate”)
- We receive information about you from a Candidate, who lists you as their reference (you being a “Reference”).
Device information - If you visit our Career Site, we will collect information about your device, such as IP address, browser type and version, session behaviour, traffic source, screen resolution, preferred language, geographic location, operating system and device settings/usage.
Technical and statistical data - If you visit our Career Site, we will collect technical and statistical data about your use of the site, such as information about which URLs you visit, and your activity on the site.
Communications data - We will collect and store your communication with us, including the information you provided in the communication. This may include the content of emails, video recordings, messages on social media, the information you add to your account with us, surveys, etc.
Contact details - Such as your name, email address, telephone number and physical address.
Data from interviews, assessments and other information from the recruitment process - Such as notes from interviews with you, assessments and tests made, salary requirements.
Information in your application - Such as your CV, cover letter, work samples, references, letters of recommendation and education.
Information in your public profile - Meaning the information we collect about you from public sources related to your professional experience, such as LinkedIn or the website of your current employer.
Information provided by references - Meaning the information we receive from our employees or partners who refer you to us, or by the persons you have listed as your references.
From public sources. We may collect personal data about you from public sources, such as LinkedIn or the website of your current employer.
From our references. We may receive information about you from our employees or partners (such as recruitment service providers), when they believe your profile is of interest for our current or future vacancies.
From your references. If you provide us with references, we may collect information about you from them. *
Data we create ourselves or in cooperation with you. Information about your application and profile is usually created by us, or by us in cooperation with you, during the recruitment process. This may for example include notes from interviews with you, assessments
