What Jobs are available for Spatial Data in Qatar?

A leading
Qatar Project
is urgently hiring for the role of
GIS Specialist

QUALIFICATION:

• Bachelor's degree in Engineering or a related discipline
• Minimum 10 years of overall experience in construction
• At least 5 years of regional experience in Hanover or similar environments
• Proven involvement in major roads, infrastructure, and drainage projects
• Manage and analyze geospatial data for infrastructure and drainage projects
• Support design, planning, and execution using GIS tools and technologies
• Collaborate with engineering teams to integrate GIS into project workflows

REQUIREMENT:

• Candidate's should be present in Qatar with valid QID
• Available to join immediately
• Send us your Latest CV, Experience Certificates, etc.

NOTE:

• Applications without the above-mentioned documents will be rejected.

Duties & Responsibilities:

1. To teach a range of GIS and RS courses

2. Supervising students at GIS and RS labs.

3. Assist and collaborate with course instructors as assigned by Department Head

4. Contribute to the development of new Remote Sensing and GIS courses/programs/research centers.

5. Assist Department Head in various tasks as assigned.

6. Monitor the academic performance of undergraduate students.

Competencies:

1. Specialized in GIS and RS, and solid knowledge in related discipline at the under graduate level.

2. Experience in teaching at the undergraduate level.

3. Expertise in using course management system such as Blackboard

4. Proficiency in both Arabic Language and English

Qualifications

Qualifications:

1. The candidate should hold a PhD degree in GIS and RS at an internationally recognized university.

2. Experience in teaching a wide range of courses in GIS and RS and related disciplines.

3. Competency and involvement in research.

4. Fluency in Arabic Language.

5. Fluency in English language.

Required Documents

Academic:

1. Cover letter.

2. Current Curriculum Vitae reflecting the following information:

3. Years of experience

4. Major
5. Specialization/Concentration
6. H index
7. Citations
8. Google scholar link
9. ORCID Number
10. Number of publications published in Q1 journals during the last 5 years
11. Number of publications published in Q2 journals during the last 5 years
12. Number of publications published in Q3 journals during the last 5 years
13. Number of publications published in Q4 journals during the last 5 years
14. Number of publications published in Non-indexed Journals
15. Number of Published Books
16. Number of Published Chapter of Books
17. Number of Graduate Students supervised and the role
18. Awards
19. Grants
20. Role

21. Amount

22. Statement of Teaching Philosophy

23. Research Plan

24. Contact details of three referees' contact information (physical and email addresses as well their telephones contact).

25. Academic transcript of the Highest Qualification

26. Any additional documentation deemed relevant to the application

Benefits

Academic:

• A three-year renewable contract.

• Salary is commensurate with experience.

• Tax-free salary.

• Furnished accommodation in accordance with QU HR policies.

• Educational allowance for candidate's children (eligible candidates only) in accordance with QU HR policies.

• Private health care and health insurance in accordance with QU HR policies.

• Annual leave in accordance with QU HR policies.

• End-of-contract indemnity in accordance with QU HR policies.

How To Apply

New Applicant: You need to setup an account with QU Recruitment Online website ) and complete your personal profile. Once your profile is complete you may use it to apply for an open Position.

Job Description
We are currently looking Data Analyst for our Qatar operations with the following terms & conditions.

Responsibilities :

• Query clean, and prepare datasets to support predictive model development.
• Perform data profiling, outlier analysis, missing value treatment, and variable selection.
• Generate statistical summaries, histograms, distributions, and correlations to support model assumptions
• Assist in feature engineering with code (Python, SQL) based pipelines.
• Develop intemal data validation and sanity checks to support model input/output reliability.

Expertise Required

• Advanced SQL and scripting for large-scale data extraction and transformation
• Strong in Python for data analysis (Pandas, matplotlib, seaborn).
• Experience using Jupyter notebooks, Git, and shared model/analytics repos
• Comfort working with transactiorial, behavioral, and log-based data
• Self-directed and technical; works off specifications from data science lead or product owner
• No need to present to business users or interpret commercial outcomes
• Focus on clean, efficient code, reproducibility, and high data integrity

Joining time frame: 2 weeks (maximum 1 month)

Nair Systems is currently looking Data Analyst for our Qatar operations with the following terms & conditions.

Responsibilities :

• Query clean, and prepare datasets to support predictive model development.

• Perform data profiling, outlier analysis, missing value treatment, and variable selection.

• Generate statistical summaries, histograms, distributions, and correlations to support model assumptions

• Assist in feature engineering with code (Python, SQL) based pipelines.

• Develop intimal data validation and sanity checks to support model input/output reliability.

Expertise Required

• Advanced SQL and scripting for large-scale data extraction and transformation

• Strong in Python for data analysis (Pandas, matplotlib, seaborn).

• Experience using Jupyter notebooks, Git, and shared model/analytics repos

• Comfort working with transactiorial, behavioral, and log-based data

• Self-directed and technical; works off specifications from data science lead or product owner

• No need to present to business users or interpret commercial outcomes

• Focus on clean, efficient code, reproducibility, and high data integrity

Should have banking domain experience

Joining time frame: Immediate

Should you be interested please send resume

Requirements

• Minimum 5 years of experience as a Data Analyst in the F&B industry
• Proven expertise in ERP systems (e.g., Oracle, SAP, Microsoft Dynamics)
• Strong skills in Excel, Power BI, or other data visualization tools
• Bachelor's degree in Finance, Business Administration, Economics, or related field
• Currently based in Qatar with a valid QID
• Excellent communication and presentation skills
• Ability to work independently and manage multiple priorities

Key Responsibilities

• Analyze operational, financial, and sales data from ERP systems and internal reports
• Develop forecasting models for inventory, sales trends, and labor planning
• Identify performance gaps and provide data-driven recommendations
• Collaborate with finance, operations, and procurement teams to optimize cost and efficiency
• Create dashboards and visual reports for senior management
• Ensure data integrity and accuracy across all reporting platforms

Job Types: Full-time, Permanent

Education:

• Bachelor's (Required)

Experience:

• as a Data Analyst in the F&B industry: 5 years (Required)

Language:

• English (Required)

Location:

• Doha (Required)

Numeral is building the automation backbone for internet commerce — starting with the painful world of sales tax compliance. We handle everything from registration to remittance, delivering a white-glove service so e-commerce businesses can stay laser-focused on what they do best: growing their products, customers, and teams.

We're one of the fastest-growing companies from Y Combinator's W23 batch, backed by top-tier investors including Benchmark Capital. Our team has deep roots from the early days at Stripe, Airbnb, Notion, and other breakout companies — and now we're bringing that same level of craft, speed, and ambition to a space that's long overdue for reinvention.

Numeral is small but mighty. Growth is already borderline unmanageable — which means every hire we make now will directly shape the trajectory of the company. If you're excited about joining as an early team member and want the kind of ownership that defines careers, we want to meet you.

Running an online business today means wearing a thousand hats — most of them not the reason founders started their company. Our mission is to eliminate the administrative and accounting burdens that distract businesses from doing what they love.

We've already helped hundreds of merchants avoid the headache of building giant finance teams just to manage tax compliance. Tomorrow, we're scaling that impact even further: building the automation layer that lets internet businesses stay nimble, compliant, and future-proof.

As a Data Analyst at Numeral, you'll be embedded in the engine room of our operations—playing a critical role in reconciling customer data, improving data quality, and making our platform smarter and more scalable. You'll work closely with Engineering, Product, and CX teams to ensure customers have clean, actionable data at their fingertips and smooth onboarding experiences.

This is a foundational role with outsized impact. You'll get to shape how we use data across the business - no bureaucratic layers, just real ownership and real outcomes.

• Reconcile financial and transactional data from multiple sources to enable accurate, repeatable sales tax filings

• Normalize customer data across platforms (e.g. Stripe, Shopify, Numeral API) to ensure integrity in tax workflows

• Partner with Sales, Engineering, Product, and Solutions teams to troubleshoot and resolve onboarding data issues

• Support our customer-facing teams with ad hoc data questions, investigations, and insights

• Build internal tooling and processes to streamline reconciliation and improve onboarding throughput

• Improve the fidelity and performance of our DBT pipelines and help evolve our broader data architecture

• Proficient in SQL and Excel / Google Sheets

• Strong analytical and pattern recognition skills across large, messy, or multi-source datasets

• Experience reconciling financial or transactional data (ideally in an e-commerce or payments environment)

• Strong problem-solving skills and ability to operate with autonomy in fast-moving environments

• Clear communicator with high attention to detail and a collaborative mindset

• Experience with DBT or similar ETL frameworks

• Familiarity with Stripe, Shopify, Fivetran, Parquet, S3, DuckDB

• Comfort navigating REST APIs and programmatically transforming data (e.g. Python or other scripting languages)

• Prior exposure to tax, compliance, or accounting-related data

• A background in operations, finance, or technical customer success

• Be a core builder in an ambitious, globally minded startup.

• Learn hands-on how to scale international compliance systems.

• Work across functions and with leadership early in your career.

• Make a visible impact immediately through enablement and operational design.

• Enjoy a flexible, remote-first culture with strong mentorship and ownership opportunities.

We are looking for a
Data Analyst
to join our
Reservoir and Geosciences (RGS)
team. The ideal candidate will play a key role in supporting data management, analytics, and integration across
Geology, Geophysics, Petrophysics, and Reservoir
domains.

Key Responsibilities:

Manage and support Geoscience & Reservoir Management databases and tools

Act as focal point and data steward for Petrophysics data (logs, core data, fluids, pressures, etc.)

Support data visualization, dashboards, and analytics for RGS teams

Ensure data quality, integration, and standardization across corporate and project databases

Identify and implement process improvements to optimize data workflows

Qualifications:

MSc/BSc in Reservoir or Petroleum Engineering (or related field)

Minimum 3 years' experience in RE data management and/or data analysis

Skilled in scripting and data handling (Python, C++, Visual Basic, SQL)

Strong communication, initiative, and decision-making skills

Fluent in English

Key Responsibilities

• Data Management & Integration
• Manage and maintain data accuracy across Zoho Recruit, Zoho People, Zoho CRM, and related platforms.
• Design and maintain reports and dashboards using
  Zoho Analytics
  to track key workforce metrics.

• Integrate data from multiple sources to provide unified insights on recruitment, deployment, and performance.

• Analytics & Insights

• Analyze key workforce indicators such as headcount trends, mobilization status, time-to-fill, and attrition rate.
• Provide data-backed recommendations to optimize resource allocation and operational efficiency.

• Support management with periodic analytical reports and performance dashboards.

• Automation & Reporting

• Automate data collection and report generation using Zoho Flow and Deluge scripting.
• Create real-time visual dashboards for department heads and project managers.

• Ensure timely delivery of data reports and analysis to support strategic decisions.

• Collaboration & Decision Support

• Work closely with HR, Finance, and Operations teams to improve processes through data insights.
• Prepare trend analyses, forecasts, and executive summaries for internal reviews.
• Maintain confidentiality and integrity of all organizational data.

Qualifications & Experience

• Bachelor's degree in
  Data Analytics, Computer Science, Statistics, or Business Administration
  .
• 3–5 years of experience
  as a Data Analyst or Business Analyst, preferably in the
  workforce outsourcing or contracting industry
  .
• Hands-on experience with
  Zoho applications
  (Recruit, People, CRM, Analytics).
• Proficiency in
  data visualization, report automation, and dashboard creation
  .

• Knowledge of
  SQL, Excel (advanced), and Zoho Deluge scripting
  preferred.

• Key Skills

• Strong analytical and problem-solving ability.
• Excellent understanding of workforce metrics and operational data.
• High proficiency in Zoho Analytics and business reporting.
• Attention to detail and data accuracy.
• Strong communication and presentation skills.
• Ability to manage large datasets and deliver insights under tight deadlines.

Performance Metrics

• Accuracy and timeliness of analytical reports.
• Quality of dashboards and data visualizations.
• Reduction in manual reporting efforts through automation.
• Effectiveness of insights in improving workforce operations.

The purpose of this role is to provide direct support to the assigned department in the performance of a wide variety of data analyzing and processes.

Responsibilities

• Performs data analysis in support of ad-hoc, standard, and project related requests.
• Develop as methodologies for analyzing and presenting data.
• Uses and support database applications and analytical tools to: evaluate data quality, applications, and functions, produce output, and maintain operation.
• Researches new data sources, data analysis contribution to projects and provide input on improvements in data quality process & procedures.
• Supports and enhance processes around using data profiling, data quality, data mapping, and metadata tools to validate and uncover root cause data issues, maintain data dictionary, mapping rules and data lineage.

Qualifications

• Bachelor's Degree in Business, statistics, information Technology (IT) Or Engineering.
• 5 years' Data Management experience.