177 Market Analysts jobs in the United Arab Emirates

Fluid Codes is the APEX Channel Partner of ANSYS part of Synopsys, authorized with exclusive rights to distribute and provide support for ANSYS Engineering Simulation Solutions in the Middle East and North Africa. (fluidcodes.com).

Ansys is the global leader in engineering simulation, helping the world’s most innovative companies deliver radically better products to their customers. By offering the best and broadest portfolio of engineering simulation software, Ansys helps companies solve the most complex design challenges and engineer products limited only by imagination.

JOB SUMMARY:

We are seeking Business Intelligence Analyst to execute the implementation of BI dashboards, process analytics, and reporting workflows . The ideal candidate will collaborate closely with business stakeholders to model processes, integrate data sources, and deliver actionable insights for Sales, Marketing, Technical, and Operations teams.

Key Responsibilities

• Data Integration: Connect and maintain data from multiple sources (Salesforce, HubSpot, Zoho, Google Sheets) into a unified reporting system.
• Build and Manage BI Solutions: Develop interactive dashboards and reports using Power BI, Salesforce or equivalent tools, ensuring clear visualization of key business metrics.
• Process Analytics: Analyze business workflows, define KPIs, and provide actionable insights to improve efficiency and automation opportunities.
• Performance Monitoring: Deliver real-time analytics for Sales, Marketing, and technical teams, including trend analysis and forecasting.
• Stakeholder Collaboration: Work closely with department heads to capture requirements, deliver insights, and train teams on BI tools for self-service reporting.

Qualifications & Skills

• Education: Bachelor’s degree in Computer Science, Information Systems, Business, Data Analytics, or related field.
• Experience: 3+ years in BI development, process analytics, or similar roles.
• Technical Skills:
  • Proficiency in Power BI (or Tableau/Qlik), DAX , and data modelling.
  • Strong experience with ETL processes, data preparation, and transformation for analytics.
  • Solid understanding of SQL and relational databases for data extraction and manipulation.
  • Familiarity with Salesforce, HubSpot, Zoho Projects, and other business systems for data integration.
• Soft Skills: Strong analytical thinking, problem-solving, and stakeholder communication skills.

Founded in 1997, Fluid Codes is an Ansys Apex Channel Partner serving the needs of the engineering community in the Middle East & Africa.

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This is a dynamic and challenging role that requires an individual with exceptional analytical skills and the ability to communicate complex ideas in a clear and concise manner.

As a Business Intelligence Expert, you will be responsible for developing sophisticated analytical solutions that integrate diverse information assets to achieve incremental revenue or reduction in costs or mitigating financial risks.

1. Key Responsibilities:
2. Strategic Responsibilities:
• Develop & conceptualize innovative analytical solutions that leverage diverse information assets to drive business value.
• Lead the discovery process for analytics opportunities with stakeholders to identify business requirements and expected outcomes.
• Make strategic recommendations on data collection, integration, and retention requirements incorporating business needs and knowledge of best practices.
• Define standard metrics and KPIs for measuring the success of analytics engagements undertaken and establish processes to measure them.
• Educate colleagues on new approaches such as testing hypotheses and statistical validation of analytical results.
3. Core Responsibilities:
• Apply advanced statistical and predictive modelling techniques to build, maintain, and improve multiple decision systems.
• Design experiments and test business hypotheses.
• Identify available and relevant data sources including internal and external data leveraging new data collection processes such as geolocation data, unstructured data sources like emails, log files, social media, etc.
• Develop innovative approaches to solve business problems using Analytics and communicate results and methodologies.
• Utilize patterns and variations in data volume, speed, and other characteristics to support initiatives, type of data (e.g. Images, text, clickstream or metering data) in predictive analysis.
• Provide ongoing tracking and monitoring of performance of decision systems and statistical models built by the data science unit.
• Recommend & implement ongoing improvements to methods and algorithms leading to findings including new information & patterns in the data.
• Establish conducive ecosystem for analytics using tools, processes, vendors, etc. within the organization enabling adoption of analytics across departments.
• Play the role of bank wide machine learning and Artificial Intelligence expert to use these techniques to solve real business problems.
4. People Management Responsibilities:
• Coach & groom data scientists on gaining knowledge & skills on principles of analytics techniques, problem solving, project management, client relationship management & team work skills.
• Responsible to hire, train, motivate, and continuously develop skillsets of the data scientists in the team.
• Define goals and key performance indicators for each member of data science team and coordinate performance management review process for the team.

This role involves analyzing and interpreting data related to product development and performance. Insights are provided to support decision-making processes, and contributions are made to the improvement of product strategies.

• Communicate business requirements through clear user stories.
• Analyze customer data to improve customer acquisition and retention.
• Identify trends, patterns, and insights related to product performance.
• Collaborate with cross-functional teams to gather requirements and understand stakeholder needs.
• Support in maintaining backlogs and handling new requests.
• Conduct market research and analysis on competitor products.

• Strong technical knowledge and understanding of business principles.
• Proven track record of delivering data-driven solutions with a customer-first approach.
• Fluent English speaker.
• Previous experience as a Business Analyst or Product Analyst for 3 years.
• In-depth knowledge of Agile (Scrum) process and principles.
• Excellent communication, presentation, and leadership skills.
• Strong organizational and time management skills.
• Strong problem-solving skills.

• Requirement gathering: Skilled at gathering and interpreting requirements from stakeholders.
• Collaboration: Ability to collaborate effectively with cross-functional teams.
• Problem-solving: Capable of identifying product-related challenges and proposing effective solutions.
• Attention to detail: Attentive to details in data analysis and product requirements.
• Time management: Ability to manage time efficiently to meet project deadlines.
• Adaptability: Willingness to adapt to changing project requirements.
• Communication: Excellent communication skills to convey complex information clearly.

• A competitive salary package and performance-based bonuses.
• A globally distributed team with a diverse culture.
• The opportunity to impact millions of people in the region.
• A collaborative and feedback-driven work environment.
• Opportunities for professional growth and development.
• The chance to be part of an innovative company at the cutting edge of the industry.

• Mid-senior level.
• Full-time position.
• Research, analyst, and IT job function.

Job Summary:

We are seeking a skilled Data Analyst to join our team. The ideal candidate will have strong analytical skills and be able to collect, analyze, and interpret large amounts of data from multiple sources.

• Collect and analyze data from various sources to support business decisions.
• Develop reports, dashboards, and visualizations to communicate findings to stakeholders.
• Identify opportunities to apply data-driven solutions to existing processes.
• Collaborate with other departments and maintain effective communication of results.
• Manage multiple priorities in a fast-paced environment.

• Strong knowledge of databases, data analysis tools, and software development techniques.
• Experience creating dashboards, reports, and visualizations.
• Analytical mindset with problem-solving skills; ability to work independently and collaboratively.
• Excellent organizational skills and ability to manage multiple priorities.

We offer on-the-job training and are open to considering candidates who are foreign nationals living outside of the UAE. Salary: 1200 AED per month.

Job Overview

The role of Data Analyst involves leveraging analytical tools and data platforms to extract valuable insights from raw data. The successful candidate will be responsible for translating data into actionable business intelligence, driving efficiency and growth through informed decision-making.

Key Responsibilities

• Extract key findings from data using advanced analytics techniques.
• Conduct thorough quality control checks to ensure accuracy and reliability of data.
• Investigate anomalies in data and identify opportunities for optimization.
• Design and implement experiments to improve business performance.
• Support the development and analysis of Business Intelligence tools.
• Record and analyze datasets to measure business performance.
• Provide ad hoc data and analysis support as needed.
• Apply industry knowledge to interpret data and inform business decisions.

Required Skills and Qualifications

• Data visualization and interpretation.
• Advanced analytical and technical skills.
• Strong communication and presentation skills.
• Excellent organizational and time management skills.
• Prioritization and project management.
• Data-driven decision making.
• Customer-focused approach.
• Innovative problem-solving.

Benefits and Opportunities

This role offers a unique opportunity to make a meaningful impact on our organization's success. As a Data Analyst, you will have the chance to work with a talented team of professionals, develop your skills and expertise, and contribute to the development of business intelligence solutions that drive growth and improvement.

About the Role

This is a full-time position that requires strong analytical and technical skills, excellent communication and presentation skills, and the ability to work effectively in a fast-paced environment. If you are a motivated and detail-oriented individual who is passionate about data analysis and business intelligence, we encourage you to apply.

About this Role

We are seeking a skilled Data Specialist to deliver data platforms and pipelines within a Databricks on Azure environment.

As part of a collaborative team, you'll work closely with experts to build scalable data solutions that meet client needs.

Ideal candidates have strong hands-on experience in Databricks, Python, and ADF, with the ability to adapt to fast-paced consulting engagements.

Data Solutions Expertise:

We are seeking an accomplished professional to lead our business intelligence initiatives, leveraging data analytics and visualization to drive informed decision-making.

This role requires a strategic thinker with expertise in data management, statistical analysis, and reporting. The successful candidate will develop and implement data-driven solutions to support business growth and optimization.

• Develop and execute a comprehensive business intelligence strategy aligning with organizational objectives.
• Collaborate with stakeholders to identify business needs, define requirements, and design effective solutions.
• Analyze complex data sets to derive actionable insights, providing recommendations for process improvement and resource optimization.
• Design and deliver high-quality reports, dashboards, and visualizations to support business decisions.
• Stay up-to-date with industry trends and emerging technologies, applying innovative solutions to drive business outcomes.

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Minimum 5 years of experience in data analytics, reporting, and database management.

This is an exciting opportunity to join our team as a Business Intelligence Lead, driving business growth through data-driven insights and strategic decision-making.

Dasseti is a rapidly growing, global fintech that helps institutional investors and investment managers meet data exchange, monitoring, risk management and compliance needs at every stage of the investment lifecycle.

We are seeking a motivated and detail-oriented Data / BI Analyst to join our growing team. This role is ideal for someone with 2 to 4 years of experience in data analysis, business intelligence, or related roles. You will assist in developing dashboards, analysing data, and supporting the reporting needs of both internal teams and clients.

You will work alongside senior analysts and developers, helping to translate business requirements into actionable insights, build visualizations, and maintain data processes.

Key responsibilities and duties

• Support the design and maintenance of BI dashboards and reports in Tableau, Power BI, or similar tools.
• Assist in collecting and analysing business requirements from internal stakeholders.
• Perform data extraction, cleaning, and transformation using SQL and other tools.
• Maintain technical documentation for reporting processes and dashboards.
• Collaborate with the engineering and data teams to ensure data accuracy and consistency.
• Help investigate and resolve data-related issues and inconsistencies.
• Participate in testing and validation of BI solutions.
• Create simple user guides and walkthroughs for internal and client-facing reports.

Skills and background

Education

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related fields.

Background, Experience and Knowledge

• 2 to 4 years of experience in data analysis, reporting, or business intelligence roles.
• Hands-on experience with BI tools such as Tableau, Power BI, or equivalent.
• Good working knowledge of SQL for querying and manipulating data.
• Strong attention to detail with an analytical mindset, combined with a passion for crafting visually compelling dashboards that convey data accurately and support storytelling and user engagement.
• Excellent soft skills and a demonstrated ability to multitask and manage time efficiently.
• Comfortable working in a fast-paced environment and open to flexible hours to coordinate with global teams.
• Exposure to data warehousing concepts and cloud platforms (e.g., Fabric, Redshift, BigQuery, or Azure Synapse) is a plus.
• Familiarity with data modeling, ETL processes, and basic scripting (Python or R is a plus).

The above specifications are not intended to reflect all duties to be performed within the job. The incumbent may be required to perform additional duties or projects either arising from the scope of the position or based on Dasseti's overall business needs.

• Entry level

• Full-time

• Research, Analyst, and Information Technology

• Software Development

Key Responsibilities:

• Analyze data from various sources to identify trends and insights, and develop actionable recommendations.
• Develop and maintain data dashboards, reports, and visualizations to track key performance indicators (KPIs).
• Conduct statistical analysis to support decision-making processes.
• Prepare clear and concise reports for technical and non-technical audiences in both Arabic and English.
• Design visually appealing presentation materials using tools like PowerPoint or other visualization software.
• Present findings to internal teams, stakeholders, and clients ensuring clarity and engagement.
• Work closely with cross-functional teams to understand data needs and business goals.
• Translate technical data into business insights to support strategic decision-making.

Education: Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field. A Master's degree is a plus.

Technical Skills: Proficiency in data analysis tools such as Excel, SQL, Python, or R. Experience with visualization tools like Tableau, Power BI, or similar. Strong understanding of statistical analysis and modeling.

Languages: Fluent in Arabic (spoken and written). Fluent in English (spoken and written).

Soft Skills: Excellent communication and interpersonal skills. Strong presentation and public speaking abilities. Detail-oriented with strong problem-solving skills.

Experience: Proven experience in a data analytics role. Experience preparing and delivering bilingual presentations is highly desirable.