data engineer

data analyst

senior data scientist

data analyst i

junior business analyst

data reporting analyst

Noon Academy

<div>Shaping the Next Gen Schools 
 
We&rsquo;re on a mission to radically change the way students learn. We believe in solving hard problems and play to win&mdash;we measure progress by revenues, students, and learning gains. Our approach? Build high-performing teams, giving them the freedom to dream big and execute boldly.
Today, we&rsquo;re building the next generation of schools in Saudi Arabia. We believe every student deserves world-class teachers. And to make it happen, we&rsquo;re reimagining everything about education: from cutting-edge tech to peer learning and physical spaces that spark curiosity.
Learn more about us: https://www.noon.edu.sa/ 
<ul>
<li>
10+ Years of Impact: Started with a simple idea&mdash;access to the best teachers shouldn&rsquo;t be a luxury, and learning should energize, not drain you.</li>
<li>
Market Leaders: 14 million students (and counting) use Noon across Middle East, Egypt, and Pakistan to ace high-stakes exams like Qudurat &amp; Tahsili</li>
<li>
Now: We&rsquo;re laser-focused on reinventing schools in Saudi Arabia. We&rsquo;re accelerating rapidly, well-funded, and profitable.</li>
<li>
Office: This is a hybrid role, giving you the flexibility to work onsite/remotely while staying connected with teams across the business.</li></ul> 
About the role: 
We&rsquo;re looking for a Data Analyst to join our team! This is a hands-on role where you&rsquo;ll work closely with stakeholders across the business - from Learning and Operations to Product - to ensure data is accurate, actionable, and easy to interpret. You&rsquo;ll be part of a growing strategy team, collaborating virtually across multiple countries.
You&rsquo;ll be at the intersection of data, business, and strategy, helping the company make data-driven decisions that directly impact student outcomes and business performance. 
Your work will span:<ul>
<li>
Creating and automating dashboards.</li>
<li>
Conducting data analysis for fundraising and investor relations.</li>
<li>
Presenting financial data to executive leadership.</li>
<li>
Investigating and comprehending metric calculations, as well as evaluating the appropriateness of chosen metrics.</li>
<li>
Taking ownership of the company's OKRs (Objectives and Key Results).</li></ul> 
What We&rsquo;re Looking For: 
<ul>
<li>
2+ years of experience in data analytics, reporting, or business strategy analysis.</li>
<li>
Self manage and doesn't need a lot of direction</li>
<li>
Strong technical skills in SQL, Tableau or Power BI, and Google sheets.</li>
<li>
Detail-oriented mindset: You notice what matters, capture it, and flag inconsistencies without overcomplicating.</li>
<li>
Business-minded: Able to connect data to real-world needs.</li>
<li>
Strong communication skills: Can clearly explain data insights to both technical and non-technical audiences.</li>
</ul>
If you are excited about shaping the future of education and think you are the right fit for this opportunity, apply through the job link. We look forward to reviewing your application and exploring how you can contribute to Noon&rsquo;s mission!</div>

Data Analyst

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 About The Team
 
 
 
 Part of Careem NextGen Team, the mission of the program is to train the new Analysts to build Analytical excellence foundations with high standards. You will have access to some of the most exciting projects and advanced tech for accelerated learning and exposure, leveraging modern analysis and visualization tools to solve the region&rsquo;s day to day problems.
 
 
 The Careem Analytics team&rsquo;s mission is to build and track the full lively picture for Careem businesses and experiences, uphold the experience bar, provide actionable insights, formulate problems and contribute to solving them.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, and analyze structured and unstructured data from various internal and external sources.
 </li>
 <li>
 Build and maintain dashboards and reports to track KPIs and business performance.
 </li>
 <li>
 Work with cross-functional teams (product, engineering, and operations) to understand data needs and deliver actionable insights.
 </li>
 <li>
 Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
 </li>
 <li>
 Support experimentation (A/B testing) and data-driven decision-making.
 </li>
 <li>
 Write SQL queries and use analytical tools to extract, transform, and analyze data efficiently.
 </li>
 <li>
 Leverage AI and automation tools to streamline recurring analytical tasks, improve data workflows, and enhance productivity.
 </li>
 <li>
 Explore opportunities to integrate AI-assisted insights (e.g., anomaly detection, trend forecasting, text summarization) into dashboards and reports.
 </li>
 <li>
 Document data definitions, methodologies, and analysis processes.
 </li>
 <li>
 Ensure data quality, integrity, and accuracy in reporting systems.
 </li>
 <li>
 Present findings clearly through visualizations and storytelling to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Economics, or a related field.
 </li>
 <li>
 0&ndash;2 years of experience as a Data Analyst or in a similar analytical role.
 </li>
 <li>
 Strong SQL skills and proficiency in at least one analytical language (Python or R).
 </li>
 <li>
 Strong SQL and Python skills, with experience in analytical libraries (e.g., pandas, NumPy, SciPy).
 </li>
 <li>
 Hands-on experience with BI and visualization tools (e.g., Power BI, Tableau, Looker, or Metabase).
 </li>
 <li>
 Understanding of data modeling, ETL processes, and database concepts.
 </li>
 <li>
 Basic knowledge of statistics and hypothesis testing.
 </li>
 <li>
 Familiarity with AI tools (e.g., ChatGPT, Gemini, Copilot) and an understanding of how to apply them to automate analyses, improve data exploration, and enhance decision-making.
 </li>
 <li>
 Curiosity to experiment with emerging AI capabilities for workflow optimization and insight generation.
 </li>
 <li>
 Strong attention to detail and ability to manage multiple priorities.
 </li>
 <li>
 Excellent communication and presentation skills with the ability to explain insights effectively.
 </li>
 <li>
 Strong attention to detail, analytical curiosity, and a bias for driving measurable impact.
 </li>
 <li>
 Experience with version control (Git) and data warehouses (BigQuery, Redshift, Snowflake) is a plus.
 
 
 </li>
 </ul>
 
 What We&rsquo;ll Provide You
 
 
 
 We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
 </li>
 </ul>
</div>

Data Analyst I

<div><div>Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires. 
Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.

We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.</div><div>
About the Team:

Part of Careem NextGen Team, the mission of the program is to train the new Analysts to build Analytical excellence foundations with high standards. You will have access to some of the most exciting projects and advanced tech for accelerated learning and exposure, leveraging modern analysis and visualization tools to solve the region&rsquo;s day to day problems.

The Careem Analytics team&rsquo;s mission is to build and track the full lively picture for Careem businesses and experiences, uphold the experience bar, provide actionable insights, formulate problems and contribute to solving them. 


Responsibilities
<ul>
<li>Collect, clean, and analyze structured and unstructured data from various internal and external sources.</li>
<li>Build and maintain dashboards and reports to track KPIs and business performance.</li>
<li>Work with cross-functional teams (product, engineering, and operations) to understand data needs and deliver actionable insights.</li>
<li>Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.</li>
<li>Support experimentation (A/B testing) and data-driven decision-making.</li>
<li>Write SQL queries and use analytical tools to extract, transform, and analyze data efficiently.</li>
<li>Leverage AI and automation tools to streamline recurring analytical tasks, improve data workflows, and enhance productivity.</li>
<li>Explore opportunities to integrate AI-assisted insights (e.g., anomaly detection, trend forecasting, text summarization) into dashboards and reports.</li>
<li>Document data definitions, methodologies, and analysis processes.</li>
<li>Ensure data quality, integrity, and accuracy in reporting systems.</li>
<li>Present findings clearly through visualizations and storytelling to both technical and non-technical stakeholders.</li> 
</ul>
Qualifications
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Economics, or a related field.</li>
<li>0&ndash;2 years of experience as a Data Analyst or in a similar analytical role.</li>
<li>Strong SQL skills and proficiency in at least one analytical language (Python or R).</li>
<li>Strong SQL and Python skills, with experience in analytical libraries (e.g., pandas, NumPy, SciPy).</li>
<li>Hands-on experience with BI and visualization tools (e.g., Power BI, Tableau, Looker, or Metabase).</li>
<li>Understanding of data modeling, ETL processes, and database concepts.</li>
<li>Basic knowledge of statistics and hypothesis testing.</li>
<li>Familiarity with AI tools (e.g., ChatGPT, Gemini, Copilot) and an understanding of how to apply them to automate analyses, improve data exploration, and enhance decision-making.</li>
<li>Curiosity to experiment with emerging AI capabilities for workflow optimization and insight generation.</li>
<li>Strong attention to detail and ability to manage multiple priorities.</li>
<li>Excellent communication and presentation skills with the ability to explain insights effectively.</li>
<li>Strong attention to detail, analytical curiosity, and a bias for driving measurable impact.</li>
<li>Experience with version control (Git) and data warehouses (BigQuery, Redshift, Snowflake) is a plus.</li></ul> 


What we&rsquo;ll provide you

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:
<ul>
<li>Work and learn from great minds by joining a community of inspiring colleagues.</li>
<li>Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.</li>
<li>Explore new opportunities to learn and grow every day.</li>
<li>Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)</li>
<li>Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.</li></ul></div></div>

Noon-The Social Learning Platform

<div>
 
 Shaping the Next Gen Schools
 
 
 
 We&rsquo;re on a mission to radically change the way students learn. We believe in solving hard problems and play to win&mdash;we measure progress by revenues, students, and learning gains. Our approach? Build high-performing teams, giving them the freedom to dream big and execute boldly.
 
 
 Today, we&rsquo;re building the next generation of schools in Saudi Arabia. We believe every student deserves world-class teachers. And to make it happen, we&rsquo;re reimagining everything about education: from cutting-edge tech to peer learning and physical spaces that spark curiosity.
 
 
 Learn more about us: https://www.noon.edu.sa/
 
 
 <ul>
 <li>
 10+ Years of Impact: Started with a simple idea&mdash;access to the best teachers shouldn&rsquo;t be a luxury, and learning should energize, not drain you.
 </li>
 <li>
 Market Leaders: 14 million students (and counting) use Noon across Middle East, Egypt, and Pakistan to ace high-stakes exams like Qudurat &amp; Tahsili
 </li>
 <li>
 Now: We&rsquo;re laser-focused on reinventing schools in Saudi Arabia. We&rsquo;re accelerating rapidly, well-funded, and profitable.
 </li>
 <li>
 Office: This is a hybrid role, giving you the flexibility to work onsite/remotely while staying connected with teams across the business.
 
 
 </li>
 </ul>
 
 About the role:
 
 
 
 We&rsquo;re looking for a Data Analyst to join our team! This is a hands-on role where you&rsquo;ll work closely with stakeholders across the business - from Learning and Operations to Product - to ensure data is accurate, actionable, and easy to interpret. You&rsquo;ll be part of a growing strategy team, collaborating virtually across multiple countries.
 
 
 You&rsquo;ll be at the intersection of data, business, and strategy, helping the company make data-driven decisions that directly impact student outcomes and business performance.
 
 
 
 Your work will span:
 
 
 
 <ul>
 <li>
 Creating and automating dashboards.
 </li>
 <li>
 Conducting data analysis for fundraising and investor relations.
 </li>
 <li>
 Presenting financial data to executive leadership.
 </li>
 <li>
 Investigating and comprehending metric calculations, as well as evaluating the appropriateness of chosen metrics.
 </li>
 <li>
 Taking ownership of the company's OKRs (Objectives and Key Results).
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For:
 
 
 
 <ul>
 <li>
 2+ years of experience in data analytics, reporting, or business strategy analysis.
 </li>
 <li>
 Self manage and doesn't need a lot of direction
 </li>
 <li>
 Strong technical skills in SQL, Tableau or Power BI, and Google sheets.
 </li>
 <li>
 Detail-oriented mindset: You notice what matters, capture it, and flag inconsistencies without overcomplicating.
 </li>
 <li>
 Business-minded: Able to connect data to real-world needs.
 </li>
 <li>
 Strong communication skills: Can clearly explain data insights to both technical and non-technical audiences.
 
 
 </li>
 </ul>
 If you are excited about shaping the future of education and think you are the right fit for this opportunity, apply through the job link. We look forward to reviewing your application and exploring how you can contribute to Noon&rsquo;s mission!
 
 
 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.
</div>

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 About The Team
 
 
 
 At Careem, the mission for the NextGen Programme is to help grow our engineers by learning how to write Clean Code, use SOLID principle techniques, and design reliable systems. The ultimate goal is to train new engineers to build excellent foundations with high standards. Our Programme covers vast areas in engineering: Backend, Frontend, Web, Mobile, Data Analysis, MLOps, Infrastructure, Cyber Security and QA.
 
 
 Part of Careem NextGen Team, the mission of the program is to train the new Analysts to build Analytical excellence foundations with high standards.You will have access to some of the most exciting projects and advanced tech for accelerated learning and exposure, leveraging modern analysis and visualization tools to solve the region&rsquo;s day to day problems.
 
 
 The Careem Analytics team&rsquo;s mission is to build and track the full lively picture for Careem businesses and experiences, uphold the experience bar, provide actionable insights, formulate problems and contribute to solving them.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Act as the first point of contact to answer all business data queries
 </li>
 <li>
 Develop effective reporting solutions by utilizing engineering best practices and various reporting tools
 </li>
 <li>
 Participate in continuous improvement of these reporting solutions
 </li>
 <li>
 Ability to quickly understand business requirements and questions and find innovative ways to answer those through data analysis
 </li>
 <li>
 Drive and support your designated business unit by converting complex data and findings into understandable tables, graphs, and written reports
 </li>
 <li>
 Present appropriate analysis and commentary to technical and non-technical audience
 </li>
 <li>
 Gain subject matter expertise and help define appropriate key metrics for the business unit and discover untapped areas for business improvement
 </li>
 <li>
 Run regular data integrity audits
 </li>
 <li>
 Devise and evaluate methods for collecting data, such as surveys, questionnaires, and opinion polls
 </li>
 <li>
 Gather data about consumers, competitors, and market conditions
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2-4 years of demonstrated experience working in an analytical role
 </li>
 <li>
 1+ years of demonstrated experience with business intelligence and visualization tools creating management dashboards
 </li>
 <li>
 Strong analytical skills with expertise in SQL and large datasets
 </li>
 <li>
 Passion for learning new technologies and working on large-scale, impactful products.
 </li>
 <li>
 Expert at writing SQL queries against large amounts of data
 </li>
 <li>
 Self-starter with excellent communication, organizational skills, and the ability to work in complex operational environments.
 </li>
 <li>
 Ability to get hands-on in a complex operational environment
 </li>
 <li>
 Must be process oriented and a logical thinker with good attention to detail
 </li>
 <li>
 Experience with BI tools (e.g., Tableau, MicroStrategy, Looker) for dashboards
 </li>
 <li>
 Knowledge of Python, R, Spark, Hive, and data lakes (preferred)
 
 
 </li>
 </ul>
 
 What We&rsquo;ll Provide You
 
 
 
 We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a Careem colleague you will be able to:
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Enjoy the flexibility that comes with the trust of being an owner; work in a hybrid style with a mix of days at the office and at home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year.
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including: gym, health club and training classes.
 </li>
 </ul>
</div>

Data Analyst II

Zameen.com

<div>
 
 
 Job description:
 
 
 
 
 Job Brief:
 
 
 
 We are looking for a detail-oriented Reporting &amp; Data Analyst to join our Finance team. This role involves creating financial and revenue reports, analyzing large datasets, and delivering insights that support business decisions. You&rsquo;ll work closely with finance and operations teams to ensure data is accurate, meaningful, and actionable.
 
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 Create and maintain automated financial and revenue reports using advanced Excel.
 </li>
 <li>
 Clean, organize, and validate large datasets for accuracy.
 </li>
 <li>
 Skilled in analyzing data through multiple functions.
 </li>
 <li>
 Collaborate with stakeholders to understand reporting needs and deliver insights.
 </li>
 <li>
 Develop dashboards and visual reports for better data presentation.
 </li>
 <li>
 Identify trends and patterns to support decision-making.
 </li>
 <li>
 Ensure all reports follow internal data and reporting standards.
 </li>
 </ul>
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 Education: Bachelor&rsquo;s degree in Finance, Accounting, Business Analytics or a related field.
 </li>
 <li>
 Experience: 1 year+ of experience in data analysis, reporting, or finance-related roles.
 </li>
 <li>
 Advanced Excel skills (VLOOKUP, PivotTables, and Dashboards).
 </li>
 <li>
 Experience with data transformation and extraction tools.
 </li>
 <li>
 Basic understanding of accounting and financial reporting.
 </li>
 <li>
 Location: Lahore
 </li>
 </ul>
 
 Job Type: Full-time
 
 
 Work Location: Lahore Gulberg 3
 
</div>

Finance Officer

Gigalabs (Pvt) Ltd.

<div>Job Brief:
Employment Type: Full-Time (Onsite) 
Timings: 12PM-9PM 
Location: Johar town G4, Lahore 
Key Responsibilities:
Data Collection &amp; Analysis:
Gather, cleanse, and analyse large datasets from various sources, including surveys, market research, sales data, and consumer behaviour reports. Utilise statistical techniques to analyse trends, patterns, and anomalies within data. Work closely with cross-functional teams to identify key business questions and data needs.
Insights Generation:
Convert data analysis into actionable business insights that can influence decision-making and strategy.Prepare reports, dashboards, and presentations to communicate findings to senior management and stakeholders. Identify emerging trends in the market and customer behaviour to support the development of marketing and product strategies.
Reporting &amp; Presentation:
Develop and deliver regular reports that summarise key findings, trends, and insights. Present insights clearly and concisely to both technical and non-technical audiences, adapting the presentation style to suit the audience.
Market Research:
Conduct primary and secondary research to understand market conditions, competitor activities, and customer preferences. Collaborate with external research vendors and manage projects related to market intelligence and competitive analysis.
Collaboration:
Work closely with marketing, sales, and product teams to ensure insights are integrated into the business strategy. Support ad-hoc analysis requests from different departments to help solve business challenges.
Data Visualisation:
Use data visualisation tools (e.g., Power BI, Tableau) to present complex data in an easily digestible format. Ensure that reports and dashboards are interactive and user-friendly for business users.
Key Requirements:
Bachelors degree in Business, Economics, Statistics, Marketing, or a related field. 
Proven 1-2 years of experience as an Insights Analyst, Market Research Analyst, or similar role. 
Strong proficiency in Excel, PowerPoint, SQL, and data analysis tools. 
Experience with data visualisation tools like Power BI, Tableau, or similar.</div>

Insights Executive

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Finance Officer

Insights Executive