9 Test Data Analysis jobs in Qatar

JOB TO BE BASED IN SAUDI ARABIA

Overview:

We are seeking Downstream Data Analytics Engineer (Data Scientist) to join our Digital Engineering Solutions Division under Process & Control Systems Department.

Process and Control Systems Department provides services in the field of process engineering, automation, new energy and digitalization to various entities within Aramco.

As a Data Analytics Engineer your role will be to lead innovation within the business and define how the business creates additional value through the utilization of its data assets and analytics. You will identify and solve strategic and tactical analytic business problems to enhance operational efficiency.

Key Responsibilities:

As a successful candidate you will be required to perform the following:

• Identify and develop advanced analytics use cases to resolve complex technical challenges, optimize processes, enhance revenue, ensure environmental sustainability, and improve safety.
• Drive ideas from conception to production using best-in-class Machine Learning Operations (MLOps) and Development Operations (DevOps) practices.
• Develop and optimize Machine Learning (ML) models and pipelines, ensuring their efficient deployment, monitoring, and scaling.
• Explore diverse data sources to improve predictive modeling and optimize business strategies.
• Assess Artificial Intelligence (AI) tools and methods for data analysis, enhancing business impact and decision-making.
• Implement predictive modeling techniques to optimize production facilities, revenue streams, and operational efficiencies.
• Generate documentation in line with established standards to support the development and deployment process.
• Collaborate with cross-functional teams, including IT, engineering, and business stakeholders, to drive data-driven solutions.
• Contribute to technical task forces investigating incidents and solving domain-specific problems using AI/ML techniques.
• Publish research papers for peer-reviewed journals and presents findings to other organizations and conferences to advance industry knowledge.
• Promotes a learning environment through knowledge-sharing, and fosters a culture of continuous learning and innovation.
• Provide leadership and mentorship to junior team members and specialists.

Minimum Requirements:

As a successful candidate you will hold a:

• Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. An advanced degree (Master’s or PhD) focused on Data Science, AI, or ML Engineering with a background in Engineering is highly preferred.
• 18 years of overall experience, with hands-on experience in Data Science, Natural Language Processing (NLP), Computer Vision, and/or ML projects in UPSTREAM and/or DOWNSTREAM OIL & GAS INDUSTRY.
• Expertise in MLOps, DevOps, AIOps, DataOps and related operational frameworks for model deployment, monitoring, and automation.
• Experience in data collection, cleaning, preprocessing, and wrangling for industry-related problems based on domain knowledge.
• Proficiency in Platforms such as Python, R, SQL, SAS, Scala, and cloud platforms such as Azure and Google Cloud (Vertex AI).
• Expertise in visualization tools and packages; User Interface (UI) experience with Power Business Intelligence (Power BI) or similar tools.
• Experience with IT architecture and deploying models in on-prem environments.
• Strong understanding of continuous integration / continuous deployment (CI/CD) pipelines, containerization (Docker, Kubernetes), and automation frameworks.
• Demonstrated ability to publish research or contribute to industry knowledge through journal papers, conference proceedings, or whitepapers preferred

REGRET ONLY SHORTLISTED CANDIDATES WILL BE CONTACTED

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JOB TO BE BASED IN SAUDI ARABIA Overview: We are seeking Downstream Data Analytics Engineer (Data Scientist) to join our Digital Engineering Solutions Division under Process & Control Systems Department. Process and Control Systems Department provides services in the field of process engineering, automation, new energy and digitalization to various entities within Aramco. As a

Data Analytics Engineer your role will be to lead innovation within the business and define how the business creates additional value through the utilization of its data assets and analytics. You will identify and solve strategic and tactical analytic business problems to enhance operational efficiency. Key Responsibilities: As a successful candidate you will be required to perform the following: Identify and develop advanced analytics use cases to resolve complex technical challenges, optimize processes, enhance revenue, ensure environmental sustainability, and improve safety. Drive ideas from conception to production using best-in-class Machine Learning Operations (MLOps) and Development Operations (DevOps) practices. Develop and optimize Machine Learning (ML) models and pipelines, ensuring their efficient deployment, monitoring, and scaling. Explore diverse data sources to improve predictive modeling and optimize business strategies. Assess Artificial Intelligence (AI) tools and methods for data analysis, enhancing business impact and decision-making. Implement predictive modeling techniques to optimize production facilities, revenue streams, and operational efficiencies. Generate documentation in line with established standards to support the development and deployment process. Collaborate with cross-functional teams, including IT, engineering, and business stakeholders, to drive data-driven solutions. Contribute to technical task forces investigating incidents and solving domain-specific problems using AI/ML techniques. Publish research papers for peer-reviewed journals and presents findings to other organizations and conferences to advance industry knowledge. Promotes a learning environment through knowledge-sharing, and fosters a culture of continuous learning and innovation. Provide leadership and mentorship to junior team members and specialists. Minimum Requirements: As a successful candidate you will hold a: Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. An advanced degree (Master’s or PhD) focused on Data Science, AI, or ML Engineering with a background in Engineering is highly preferred. 18 years of overall experience, with hands-on experience in Data Science, Natural Language Processing (NLP), Computer Vision, and/or ML projects in UPSTREAM and/or DOWNSTREAM OIL & GAS INDUSTRY. Expertise in MLOps, DevOps, AIOps, DataOps and related operational frameworks for model deployment, monitoring, and automation. Experience in data collection, cleaning, preprocessing, and wrangling for industry-related problems based on domain knowledge. Proficiency in Platforms such as Python, R, SQL, SAS, Scala, and cloud platforms such as Azure and Google Cloud (Vertex AI). Expertise in visualization tools and packages; User Interface (UI) experience with Power Business Intelligence (Power BI) or similar tools. Experience with IT architecture and deploying models in on-prem environments. Strong understanding of continuous integration / continuous deployment (CI/CD) pipelines, containerization (Docker, Kubernetes), and automation frameworks. Demonstrated ability to publish research or contribute to industry knowledge through journal papers, conference proceedings, or whitepapers preferred REGRET ONLY SHORTLISTED CANDIDATES WILL BE CONTACTED

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BAE Systems Strategic Aerospace Services WLL | Full time

• Business Area Name: PRIMARY HEALTH CARE CORPORATION (PHCC)
• Job Type: Full time
• Province: Ad Dawhah
• Country: Qatar
• Postal Code: 000

Job Description

• Managing the established directorate learning and development dashboard, metadata presented, quality and integrity of data to ensure timely reports are presented for the management team.
• Working with experts and teams across the organization to ensure quality data is collected, recorded, and reported in a timely and informative way for managers.
• Managing initiatives that support learning and development data quality, including skills development, communications, and guidelines for educators, facilitators, experts, and coordinators.
• Present performance reports, audits, and presentations to management team, with recommendations for quality improvement and efficient knowledge management processes.
• Establish statistical models that provide richer knowledge and insights to performance, gaps, and patterns for workforce development plans and annual learning and development planning cycle.
• Develop data visualization models to support managers in their decision-making and the strategy planning cycle.
• Perform data modeling and reporting for the management team from education and health sectors.
• Analyze large and diverse datasets from across the organization for L&D and those supported externally through external partner stakeholder groups.
• Analyze existing tools and databases and provide software solution recommendations.
• Write comprehensive reports for directorate management team.
• Developing Learning Management System tracking, management, and reporting module, with advanced programming skills to include development of data management processes supported by (but not limited to) programming languages, such as SQL, Oracle, and Python.
• Collecting and interpreting workforce learning and development data from data management tools and systems across PHCC.
• Analyzing results with statistical evidence to support KPIs, L&D performance, and quality.
• Producing data reports and data models for SMT to support decisions, strategy updates, and performance, with data visualization, development of report programs, presentation, maintenance of data integrity processes.
• Identifying patterns and trends in datasets through the use of program models, making recommendations for the management team on quality improvement or efficiency measures required.
• Working alongside teams to establish directorate needs for data management, and developing teams in data management, presentation, and reporting.
• Developing data management and knowledge management skills for team members and those supporting the learning and development cycle.
• Defining enhanced data collection and analysis processes, including management of data management system, directorate dashboard, balanced scorecard, and reporting cycle.
• Benchmarking effective knowledge management models, practice, and tools for health care workforce development.
• Supporting enhanced PHCC Learning Management System development and performance reporting updates for PHCC balanced scorecard.
• Providing technical expertise in data storage structures, data mining, and data cleansing.
• Development of knowledge management standards and models for directorate plans, PHCC Corporate Strategic Plan, delivery, and outcomes.
• Assessment and evaluation of newly introduced initiatives for quality improvement cycle and further development of knowledge – data management processes and models.
• The incumbent will undertake any such appropriate duties or responsibilities as directed.
• Ensure high standards of confidentiality to safeguard any sensitive information.

Requirements

• Bachelor’s degree in information technology, computer science, statistics, and/or mathematics, economics, or information management. Post Graduate Degree is preferred.
• Professional certification to include IT, programming or coding, statistical software, knowledge management, data management and analytics, education management, healthcare management or general management.
• 5 years’ experience in a specialist data analyst role working in the education or health sector.
• Other professional experience being considered for this role as an essential requisite includes:
• Management of health care data or business intelligence experience.
• IT professional certification, programming and statistical software, and data management.
• Developing data management, analysis, and reporting skills for team members.
• Performance reporting for strategy implementation, audit progress, standards compliance and governance, and decision-making processes supporting middle management teams.
• Strong verbal, presentation, and written communication skills.
• An analytical mind for problem-solving, making recommendations for performance and quality improvements.
• Attention to detail; interpreting data for meaningful action plans supporting directorate KPIs, with accuracy and attention to detail.
• Methodical and logical approach to problem solving and recommendations within context of business plan implementation and improvement to knowledge management practice.
• Strong interpersonal skills and teamwork across immediate team and stakeholders across PHCC.
• Risk and change management with impact assessment, including adoption of new innovative solutions to data management and knowledge.
• Bilingual in Arabic and English language (preference as data sets and management will include interpreting data in both languages, as well as business communications).

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BAE Systems Strategic Aerospace Services WLL | Full time Business Area Name: PRIMARY HEALTH CARE CORPORATION (PHCC) Job Type: Full time Province: Ad Dawhah Country: Qatar Postal Code: 000 Job Description

Managing the established directorate learning and development dashboard, metadata presented, quality and integrity of data to ensure timely reports are presented for the management team. Working with experts and teams across the organization to ensure quality data is collected, recorded, and reported in a timely and informative way for managers. Managing initiatives that support learning and development data quality, including skills development, communications, and guidelines for educators, facilitators, experts, and coordinators. Present performance reports, audits, and presentations to management team, with recommendations for quality improvement and efficient knowledge management processes. Establish statistical models that provide richer knowledge and insights to performance, gaps, and patterns for workforce development plans and annual learning and development planning cycle. Develop data visualization models to support managers in their decision-making and the strategy planning cycle. Perform data modeling and reporting for the management team from education and health sectors. Analyze large and diverse datasets from across the organization for L&D and those supported externally through external partner stakeholder groups. Analyze existing tools and databases and provide software solution recommendations. Write comprehensive reports for directorate management team. Developing Learning Management System tracking, management, and reporting module, with advanced programming skills to include development of data management processes supported by (but not limited to) programming languages, such as SQL, Oracle, and Python. Collecting and interpreting workforce learning and development data from data management tools and systems across PHCC. Analyzing results with statistical evidence to support KPIs, L&D performance, and quality. Producing data reports and data models for SMT to support decisions, strategy updates, and performance, with data visualization, development of report programs, presentation, maintenance of data integrity processes. Identifying patterns and trends in datasets through the use of program models, making recommendations for the management team on quality improvement or efficiency measures required. Working alongside teams to establish directorate needs for data management, and developing teams in data management, presentation, and reporting. Developing data management and knowledge management skills for team members and those supporting the learning and development cycle. Defining enhanced data collection and analysis processes, including management of data management system, directorate dashboard, balanced scorecard, and reporting cycle. Benchmarking effective knowledge management models, practice, and tools for health care workforce development. Supporting enhanced PHCC Learning Management System development and performance reporting updates for PHCC balanced scorecard. Providing technical expertise in data storage structures, data mining, and data cleansing. Development of knowledge management standards and models for directorate plans, PHCC Corporate Strategic Plan, delivery, and outcomes. Assessment and evaluation of newly introduced initiatives for quality improvement cycle and further development of knowledge – data management processes and models. The incumbent will undertake any such appropriate duties or responsibilities as directed. Ensure high standards of confidentiality to safeguard any sensitive information. Requirements

Bachelor’s degree in information technology, computer science, statistics, and/or mathematics, economics, or information management. Post Graduate Degree is preferred. Professional certification to include IT, programming or coding, statistical software, knowledge management, data management and analytics, education management, healthcare management or general management. 5 years’ experience in a specialist data analyst role working in the education or health sector. Other professional experience being considered for this role as an essential requisite includes: Management of health care data or business intelligence experience. IT professional certification, programming and statistical software, and data management. Developing data management, analysis, and reporting skills for team members. Performance reporting for strategy implementation, audit progress, standards compliance and governance, and decision-making processes supporting middle management teams. Strong verbal, presentation, and written communication skills. An analytical mind for problem-solving, making recommendations for performance and quality improvements. Attention to detail; interpreting data for meaningful action plans supporting directorate KPIs, with accuracy and attention to detail. Methodical and logical approach to problem solving and recommendations within context of business plan implementation and improvement to knowledge management practice. Strong interpersonal skills and teamwork across immediate team and stakeholders across PHCC. Risk and change management with impact assessment, including adoption of new innovative solutions to data management and knowledge. Bilingual in Arabic and English language (preference as data sets and management will include interpreting data in both languages, as well as business communications).

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Direct message the job poster from Xiaomi Technology.

Responsibilities:

1. Responsible for the sales data analysis of KA channels.
2. Identify business issues of the KA channel in various countries through data analysis, and communicate with distributors and sales teams to find solutions.
3. Coordinate the access of various products to KA channels in different countries and follow up on sales performance.

Qualifications:

1. More than three years of working experience in the mobile phone or consumer electronics industry, with experience in Qatar or Oman preferred.
2. Experience in sales management of KA channels and familiarity with the business model of KA channels.
3. Proficient in using Excel for data analysis.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Analyst

Industries

• Technology, Information and Media

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Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Xiaomi Technology. Responsibilities: Responsible for the sales data analysis of KA channels. Identify business issues of the KA channel in various countries through data analysis, and communicate with distributors and sales teams to find solutions. Coordinate the access of various products to KA channels in different countries and follow up on sales performance. Qualifications: More than three years of working experience in the mobile phone or consumer electronics industry, with experience in Qatar or Oman preferred. Experience in sales management of KA channels and familiarity with the business model of KA channels. Proficient in using Excel for data analysis. Seniority level

Entry level Employment type

Full-time Job function

Analyst Industries

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Freelance Software Tester (Payments Testing, Qatar)

Hi there! We are Testlio, a global software testing company with its own freelance network. Our freelancers test apps from companies across the globe. Testlio is a great place for people who value the freedom and flexibility of remote work.

At the moment, we are looking for freelance software testers based in Qatar to join us in testing our client’s app, a leading food-delivery platform focused focused on a tailored offering for each local market.

To participate in this project, you will need to create an account on our platform. Through this account, we can assign you testing tasks. You will be asked to use our website for defect tracking and will be given some material to go through to prepare you for testing.

Benefits of being a freelancer at Testlio

• Schedule: You can create your schedule and work on other testing runs that interest you.
• Location: Testlio is a 100% remote company. Seriously, you can work from the coffee shop, your home, or while waiting for class.
• Growth: You’ll be testing global-scale mobile apps and have the chance to boost your skills and grow your career:
• Payment: You are paid by the hour, not by the bug. This means you get paid even if you did not uncover any bugs.

Requirements

• Age : You have to be at least 18 years old
• Location : Must live anywhere in Qatar
• Availability : We do not have a set schedule for testing this app. We will let you know in advance when testing will take place via email. We estimate that the testing task itself will take only 1 hour . You can let us know then if you are available or not.
• Payment Instruments : We will be testing the client’s payment flow. In this scenario you will be acting like real user making a purchase on our client’s software using your own payment method. You will be asked to use the food delivery app to make an order and then cancel it. In cases in which you may not cancel the order, depending on the testing task, we will reimburse you fully.
  • We are primarily looking for individuals who can do this type of payments testing with a Debit Card from one of these banks: Qatar International Islamic Bank, Qatar Islamic Bank (SAQ), Qatar National Bank (QPSC), Commercial Bank of Qatar (QSC), Qatar National Bank, Masraf Al Rayan, Dukhan Bank, The Commercial Bank of Qatar (QSC), Doha Bank Limited, HSBC Middle East Bank
• Devices : any of the following: iOS Mobile, Android Mobile
• Experience : Software testing experience is a plus, but if you are new to testing, we offer free courses to help you learn and grow.
  • We have a preparatory course that will teach you more about Payments Testing practices.

What does testing look like?

• Type of testing : Payments testing
• Type of work : short-term, freelance.
• Workload : One time testing opportunity taking approximately 1 hour . We hope that in the future we will organize more testing tasks for this workspace.
• Payrate : The payrate for this is $18 USD / hr.
• Payment : You are paid weekly via PayPal or Payoneer.

How to start?

If you have any questions or need help, please contact (emailprotected) using the code QATARPAYMENT in the Subject line/email body so we can quickly identify your request.

Click on the Apply button below. You will be taken through our account creation process, which takes approximately 45 minutes.

Once registered, you’ll be prompted to sign up for this project, and you can view your profile to add additional devices, hobbies, etc, to learn

#J-18808-Ljbffr

Freelance Software Tester (Payments Testing, Qatar)

Hi there! We are Testlio, a global software testing company with its own freelance network. Our freelancers test apps from companies across the globe. Testlio is a great place for people who value the freedom and flexibility of remote work. At the moment, we are looking for freelance software testers based in

Qatar

to join us in testing our client’s app, a leading food-delivery platform focused focused on a tailored offering for each local market. To participate in this project, you will need to create an account on our platform. Through this account, we can assign you testing tasks. You will be asked to use our website for defect tracking and will be given some material to go through to prepare you for testing. Benefits of being a freelancer at Testlio

Schedule:

You can create your schedule and work on other testing runs that interest you. Location:

Testlio is a 100% remote company. Seriously, you can work from the coffee shop, your home, or while waiting for class. Growth:

You’ll be testing global-scale mobile apps and have the chance to boost your skills and grow your career: Payment:

You are paid by the hour, not by the bug. This means you get paid even if you did not uncover any bugs. Requirements

Age : You have to be at least 18 years old Location : Must live anywhere in

Qatar Availability : We do not have a set schedule for testing this app. We will let you know in advance when testing will take place via email. We estimate that the testing task itself will take only

1 hour . You can let us know then if you are available or not. Payment Instruments : We will be testing the client’s payment flow. In this scenario you will be acting like real user making a purchase on our client’s software using your own payment method. You will be asked to use the food delivery app to make an order and then cancel it. In cases in which you may not cancel the order, depending on the testing task, we will reimburse you fully.

We are primarily looking for individuals who can do this type of payments testing with a Debit Card from one of these banks:

Qatar International Islamic Bank, Qatar Islamic Bank (SAQ), Qatar National Bank (QPSC), Commercial Bank of Qatar (QSC), Qatar National Bank, Masraf Al Rayan, Dukhan Bank, The Commercial Bank of Qatar (QSC), Doha Bank Limited, HSBC Middle East Bank

Devices : any of the following: iOS Mobile, Android Mobile Experience : Software testing experience is a plus, but if you are new to testing, we offer free courses to help you learn and grow.

We have a preparatory course that will teach you more about Payments Testing practices.

What does testing look like?

Type of testing : Payments testing Type of work : short-term, freelance. Workload : One time testing opportunity taking approximately

1 hour . We hope that in the future we will organize more testing tasks for this workspace. Payrate : The payrate for this is

$18 USD / hr. Payment : You are paid weekly via PayPal or Payoneer. How to start?

If you have any questions or need help, please contact (emailprotected) using the code

QATARPAYMENT

in the Subject line/email body so we can quickly identify your request. Click on the Apply button below. You will be taken through our account creation process, which takes approximately 45 minutes. Once registered, you’ll be prompted to sign up for this project, and you can view your profile to add additional devices, hobbies, etc, to learn

#J-18808-Ljbffr