34 Research Methodologies jobs in the United Arab Emirates

This role involves conducting analytical testing, sampling, and maintenance according to internationally accepted standard methods for quality assurance.

• Perform a variety of quantitative and qualitative laboratory tests and analysis in accordance with established testing methods and instructions.
• Collect samples from the plant using internationally accepted standard sampling procedures to produce precise & reliable data to support research studies.
• Receive sample list and enter the test analytical results using the computerized Laboratory Information System (LIMS) and Business Object reporting software to ensure accuracy.
• Prepare and standardize chemical reagents used in day-to-day working of the laboratory tests and on-line analyzers.
• Report any instrument operating faults and apparatus damage to the immediate shift supervisor.
• Monitor the correct implementation of the sampling procedures and schedules to ensure equipment functions properly and reliable results obtained.
• Check and carry out trial runs on newly installed and/or repaired laboratory apparatus and analyzers to ensure proper functioning and accuracy of delivered items.

Education: Technical Diploma or Secondary School Certificate with a vocational trade certificate in the relevant field.

A minimum of 4 years of experience is required. This experience should be gained through handling laboratory work.

Policies, Systems, Processes & Procedures: Implement and comply with all relevant functional policies, processes, systems, standards, procedures, to accomplish operational objectives.

• Provide on-the-job training to meet Competency Based Training programs for UAE Nationalization.
• Maintain all tools, safety gear, and equipment provided by the company safely and in working condition.
• Carry out all maintenance jobs in line with assigned time standards.
• Contribute to the identification of areas and opportunities for continuous improvement in the operating procedures, modification of functional processes, machinery, or equipment.
• Comply with relevant HSE policies, procedures & controls and applicable legislation and sustainability guidelines in line with international standards, best practices and ADNOC Code of Practices.
• Maintain the work environment clean and tidy before, during, and after executing the job, in line with established standards of Hygiene and Housekeeping.
• Collect technical data from the field as required and provide inputs to prepare Section progress reports for Company Management.

Desired Profile: Minimum Qualification: Technical Diploma or Secondary School Certificate with a vocational trade certificate in the relevant field. A minimum of 4 years of experience is required.

Job Title: Data Expert

At our organization, we are seeking a talented Data Expert to join our team. As a key member of our data science team, you will play a vital role in helping us make informed decisions by leveraging data insights and analysis.

Key Responsibilities:

• Design and implement advanced statistical models to analyze complex data sets.
• Develop and maintain databases to store and manage large datasets.
• Collaborate with cross-functional teams to identify business needs and develop solutions.
• Communicate findings and insights effectively to both technical and non-technical stakeholders through reports, presentations, and visualizations.
• Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies.

Required Skills and Qualifications:

• Bachelor's degree in statistics, applied mathematics, or related discipline.
• Minimum of 4-6 years of experience in a similar role.
• Proficiency with data mining, mathematics, and statistical analysis.
• Advanced pattern recognition and predictive modeling experience.
• Experience with Excel, Tableau/Looker Studio, SQL, and programming languages such as Python and R.
• Storytelling and data visualization skills.
• Comfort working in a dynamic, data-oriented team with several ongoing concurrent projects.

Preferred Qualifications:

• Master's degree in stats, applied math, or related discipline.
• Experience with NoSQL, Pig, Hive, and PySpark/Big Query.

Data Analysis Specialist

We are seeking a skilled data analysis specialist to join our team. The ideal candidate will have expertise in developing and implementing data-driven solutions.

The successful candidate will work closely with stakeholders to identify business needs and develop effective strategies to address them.

• Key Responsibilities:
• Develop and implement data analysis models to inform business decisions
• Analyze large datasets to identify trends and patterns
• Design and implement data visualization tools to communicate insights effectively
• Collaborate with cross-functional teams to integrate data analysis into business processes

Required Skills:

• Advanced knowledge of statistical techniques and machine learning algorithms
• Experience with data visualization tools such as Tableau or Power BI
• Strong programming skills in languages such as Python or R
• Ability to communicate complex data insights to non-technical stakeholders

Benefits:

• Opportunity to work on challenging projects and collaborate with experienced professionals
• Professional development opportunities, including training and mentorship
• A dynamic and inclusive work environment

We are seeking a detail-oriented and skilled Data Scientist to drive informed decision-making and innovation across the organization.

• Create actionable insights and predictive models that inform strategic business outcomes.
• Develop robust, explainable data science models that meet business objectives.
• Maintain data quality and integrity throughout the data lifecycle.
• Collaborate with cross-functional teams to embed models into production environments.
• Evaluate data usage for governance, privacy, and regulatory compliance.

Key Requirements:

• 4+ years of experience in data science or a related field.
• University degree or relevant technology certifications.
• Experience following Agile methodologies (certification desirable).
• Excellent communication skills and high proficiency in programming languages such as SQL and Python.

We operate globally, serving customers across multiple continents. Our goal is to deliver exceptional service while driving growth and innovation.

• Machine Learning
• Data Visualization using Matplotlib, Seaborn, Plotly, or BI tools like Tableau
• Cloud platforms such as MS Azure and Databricks

We are seeking a skilled Quantitative Researcher to join our team.

• Our ideal candidate will have extensive experience in market research and strategy implementation, as well as strong analytical and problem-solving skills.

Key Responsibilities:

• Conduct comprehensive market research to identify new trading opportunities;
• Design and implement effective trading strategies based on market research findings;
• Perform thorough analysis of existing trading strategies to enhance risk-adjusted returns and adapt to changing market conditions;
• Collaborate with colleagues to leverage diverse expertise in refining and optimizing strategies.

Qualifications:

• 2+ years of experience in quantitative research/trading with specialization in spreads/option strategies;
• Experience with market-making trading strategies;
• Strong knowledge of statistical analysis, data mining, and predictive modeling;
• Understanding of market microstructure;
• Experience with using L2/L3 market data for research;
• Exceptional quantitative and mathematical skills, adept problem-solving;
• Proficient in any research-oriented programming language (Python preferred) with ability to write efficient code;
• Strong collaborative spirit, work ethics, and determined drive for success, with ability to work both independently and as part of a team;
• Strong communication skills with ability to clearly explain complex ideas.

Preferred Qualifications:

• Advanced degree (PhD or Masters) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Physics, or a related field;
• Good programming skills in programming languages like C/C++ or Rust.

Benefits:

• Full-time employment opportunity;
• Remote work option available;
• Potential for career growth and professional development.

Contact Information:

Are you looking for a challenging and rewarding career opportunity?

We have an exciting role available for an Insurance Assistant - Quality Control.

This is an excellent chance to develop your skills in data processing, analysis, and reporting. You will work closely with our experienced team to ensure the smooth operation of our insurance business.

Key Responsibilities:

• Data processing applications development
• Coding procedure design and implementation
• Data analysis and statistical reporting
• Computerized report preparation
• Record maintenance and organization

Required Skills and Qualifications:

• Analytical thinking and problem-solving skills
• Ability to analyze and interpret complex data
• Proactive and self-motivated attitude
• Excellent time management and organizational skills
• Strong teamwork and communication skills

About the Role:

This role requires a bachelor's degree in commerce, science, arts, or business administration. You should have 0-2 years of experience in general insurance underwriting. Exposure to property insurance, casualty, general accidents, liability, engineering, and financial lines is highly desirable.

What We Offer:

We offer a competitive salary and benefits package, including opportunities for professional growth and development. If you are a motivated and detail-oriented individual who is passionate about delivering exceptional results, we encourage you to apply.

Job Overview

We are seeking an analytical professional to join our team as a Data Analyst Trainee in a remote work environment.

This is an excellent opportunity for fresh graduates or aspiring data professionals to gain hands-on experience in data analysis, visualization, and reporting. The trainee will work closely with our data analytics team to derive insights, optimize business processes, and support decision-making with data-driven solutions.

Key Responsibilities

1. Assist in collecting, cleaning, and organizing data from various sources.
2. Perform basic data analysis and generate reports to identify trends and insights.
3. Support in developing dashboards and visualizations using tools like Excel, Power BI, or Tableau.
4. Work with structured and unstructured data to extract meaningful information.
5. Collaborate with different teams to understand data needs and provide analytical support.
6. Learn and apply statistical techniques, predictive modeling, and data storytelling.
7. Document findings, methodologies, and best practices for future reference.

Requirements

1. Bachelor's degree (or currently pursuing) in Computer Science, Data Science, Statistics, Mathematics, or a related field.
2. Basic understanding of SQL, Excel, and data visualization tools (Power BI / Tableau).
3. Knowledge of Python or R for data analysis is a plus.
4. Strong analytical thinking and problem-solving skills.
5. Attention to detail and ability to work with large datasets.
6. Excellent communication and teamwork skills.
7. Eagerness to learn new tools and technologies in data analytics.

What We Offer

1. Hands-on training and mentorship in data analytics.
2. Opportunity to work on real-world projects and datasets.
3. Flexible remote work environment.
4. Career growth and potential for a full-time position based on performance.

If you are passionate about data and eager to kick-start your career in analytics, we would love to hear from you.

The role of a data analyst involves collecting, analyzing, and interpreting complex data to help businesses make informed decisions.

Key Responsibilities:

1. Collecting and cleaning data from various sources
2. Performing basic data analysis and generating reports to identify trends and insights
3. Developing dashboards and visualizations using tools like Excel, Power BI, or Tableau
4. Extracting meaningful information from structured and unstructured data
5. Collaborating with different teams to understand data needs and provide analytical support
6. Applying statistical techniques, predictive modeling, and data storytelling
7. Documenting findings, methodologies, and best practices for future reference

Requirements:

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
• Basic understanding of SQL, Excel, and data visualization tools
• Knowledge of Python or R for data analysis is a plus
• Strong analytical thinking and problem-solving skills
• Attention to detail and ability to work with large datasets
• Excellent communication and teamwork skills
• Eagerness to learn new tools and technologies in data analytics

What We Offer:

• Hands-on training and mentorship in data analytics
• Opportunity to work on real-world projects and datasets
• Flexible remote work environment
• Career growth and potential for a full-time position based on performance

Job Title: Data Analyst Trainee

This is an outstanding opportunity for fresh graduates or aspiring data professionals to gain hands-on experience in data analysis, visualization, and reporting.

The trainee will work closely with our team of data analytics experts to derive actionable insights, optimize business processes, and support strategic decision-making with data-driven solutions.

We are seeking a highly motivated Data Analyst Trainee to join our organization remotely.

Key Responsibilities:

1. Assist in collecting, cleaning, and organizing large datasets from various sources.
2. Perform advanced data analysis and generate reports to identify trends and patterns.
3. Support in developing interactive dashboards and visualizations using tools like Excel, Power BI, or Tableau.
4. Work with structured and unstructured data to extract meaningful information and insights.
5. Collaborate with different teams to understand data needs and provide analytical support.
6. Learn and apply statistical techniques, predictive modeling, and data storytelling.
7. Document findings, methodologies, and best practices for future reference.

Required Skills and Qualifications:

1. Bachelor's degree (or currently pursuing) in Computer Science, Data Science, Statistics, Mathematics, or a related field.
2. Advanced understanding of SQL, Excel, and data visualization tools (Power BI / Tableau).
3. Knowledge of Python or R for data analysis is a plus.
4. Strong analytical thinking and problem-solving skills.
5. Attention to detail and ability to work with complex datasets.
6. Excellent communication and teamwork skills.
7. Eagerness to learn new tools and technologies in data analytics.

What We Offer:

1. Comprehensive training and mentorship in data analytics.
2. Opportunity to work on real-world projects and datasets.
3. A flexible remote work environment.
4. Career growth and potential for a full-time position based on performance.